<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="https://www.nitrc.org/themes/nitrc3.0/css/rss.xsl.php?feed=https://www.nitrc.org/export/rss20_forum.php?forum_id=9562" ?>
<?xml-stylesheet type="text/css" href="https://www.nitrc.org/themes/nitrc3.0/css/rss.css" ?>
<rss version="2.0"> <channel>
  <title>NITRC NITRC Community Forum: help-wanted</title>
  <link>http://www.nitrc.org/forum/forum.php?forum_id=9562</link>
  <description>Job posts and other openings</description>
  <language>en-us</language>
  <copyright>Copyright 2000-2026 NITRC OSI</copyright>
  <webMaster></webMaster>
  <lastBuildDate>Wed, 06 May 2026 18:11:49 GMT</lastBuildDate>
  <docs>http://blogs.law.harvard.edu/tech/rss</docs>
  <generator>NITRC RSS generator</generator>
  <item>
   <title>Postdoctoral Associate Position in Neuroimaging at the University of Miami Miller School of Medicine</title>
   <link>http://www.nitrc.org/forum/forum.php?thread_id=15968&amp;forum_id=9562</link>
   <description>&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;&amp;lt;img id=&amp;quot;img-980e83b7-cd74-4d2a-91fa-b34ab4531d7a_0&amp;quot; tabindex=&amp;quot;0&amp;quot; src=&amp;quot;data:image/png;base64,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&amp;quot; alt=&amp;quot;A close up of a logo&lt;br /&gt;
&lt;br /&gt;
Description automatically generated&amp;quot; width=&amp;quot;270&amp;quot; height=&amp;quot;60&amp;quot; data-origin-cid=&amp;quot;9551881B-A779-4CE5-8A8C-39C62A37A8AC&amp;quot; data-origin-width=&amp;quot;270&amp;quot; data-origin-height=&amp;quot;60&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;Department of Psychiatry and Behavioral Sciences&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;Postdoctoral Associate Position in Human Neuroimaging&amp;amp;nbsp;&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;University of Miami Miller School of Medicine, Miami, Florida, USA&amp;amp;nbsp;&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;The IMPACT Mental Health Laboratory within the Department of Psychiatry at the University of Miami Miller School of Medicine is seeking highly motivated postdoctoral scholars in the field of human &amp;lt;strong&amp;gt;neuroimaging&amp;lt;/strong&amp;gt;. Available positions will focus on analyzing &amp;lt;strong&amp;gt;proton&amp;lt;/strong&amp;gt; &amp;lt;strong&amp;gt;magnetic resonance spectroscopy (MRS)&amp;lt;/strong&amp;gt; data as well as acquiring or processing related MRI and biological measures.&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;Candidates should either have completed or be near completing a PhD in neuroscience, psychology, cognitive neuroscience, radiology, engineering, biostatistics, or a related field, and should have a strong background in &amp;lt;strong&amp;gt;quantitative analysis&amp;lt;/strong&amp;gt;. Experience with MRS data acquisition (e.g. MEGA-PRESS) and processing (e.g. LCModel) techniques as well as Unix/Linux scientific computing environments is expected. Familiarity with MATLAB, Python, or R programming languages is a plus. The primary responsibilities for this postdoctoral fellow will be to run scans, analyze neuroimaging data from multiple ongoing and recently concluded research projects, and write manuscripts.&amp;amp;nbsp;&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;Under the mentorship of Vilma Gabbay, MD and Benjamin Ely, PhD, postdoctoral scholars will be expected to advance &amp;lt;strong&amp;gt;clinical&amp;lt;/strong&amp;gt; and &amp;lt;strong&amp;gt;methodological&amp;lt;/strong&amp;gt; knowledge through their postdoctoral training. Our lab is dedicated to the study and treatment of &amp;lt;strong&amp;gt;mood&amp;lt;/strong&amp;gt;, &amp;lt;strong&amp;gt;anxiety&amp;lt;/strong&amp;gt;, and &amp;lt;strong&amp;gt;substance use disorders&amp;lt;/strong&amp;gt; in &amp;lt;strong&amp;gt;adolescent&amp;lt;/strong&amp;gt; and &amp;lt;strong&amp;gt;adult&amp;lt;/strong&amp;gt; populations using innovative neuroimaging and immunological methodologies. The neuroimaging program features high-resolution data acquisition and analysis techniques and is committed to the highest standards for magnetic resonance imaging and spectroscopy.&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;The position is funded by five ongoing NIH R01 neuroimaging projects (R01MH120601, R01DA054885, R01MH128878, R01MH131207, and R01DA059527), providing unparalleled resources for active and exploratory studies. Major research topics include longitudinal studies of adolescent mood and anxiety disorders; comorbidity of depression, cannabis use, and HIV infection; and an intervention study aimed at improving well-being among healthcare workers with parental responsibilities during the COVID-19 pandemic. Project abstracts with further details can be found on NIH RePORTER.&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;Resources available on-campus and through long-standing collaborations include multiple research-dedicated 3T MRI scanners (Siemens Skyra/Vida/Prisma) with cutting-edge sequences licensed from the University of Minnesota Center for Magnetic Resonance Research (CMRR), high-performance scientific computing clusters, and an extensive library of analytic and statistical software. The PIs are fully committed to fostering the trainee's research independence through publication of first-authored manuscripts in top journals and mentorship in grant applications. In addition to assisting with the PIs' proposals, the successful applicant will be highly encouraged to develop and pursue funding for their own research project through federal (e.g. NIH F32) or foundation grant programs by the end of their first year.&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;Please send a CV, statement of interest, and contact information for three references to &amp;lt;a class=&amp;quot;Hyperlink SCXW140539203 BCX8&amp;quot; title=&amp;quot;mailto:axo833@med.miami.edu&amp;quot; href=&amp;quot;mailto:axo833@med.miami.edu&amp;quot; target=&amp;quot;_blank&amp;quot; rel=&amp;quot;noreferrer noopener&amp;quot; data-outlook-id=&amp;quot;1bebad46-bfd8-47a1-ad65-ef11b2fba81e&amp;quot;&amp;gt;axo833@med.miami.edu&amp;lt;/a&amp;gt;. All qualified candidates will be given equal consideration. Priority will be given to candidates available to start sooner. Compensation will be proportional to experience and will follow standard postdoctoral fellowship rates posted by the University of Miami.&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot; dir=&amp;quot;ltr&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;</description>
   <author>ANDREA OTERO OSPINA</author>
   <pubDate>Thu, 05 Mar 2026 16:27:05 GMT</pubDate>
   <guid>http://www.nitrc.org/forum/forum.php?thread_id=15968&amp;forum_id=9562</guid>
  </item>
  <item>
   <title>Postdoctoral Researcher in Neuroimaging</title>
   <link>http://www.nitrc.org/forum/forum.php?thread_id=15926&amp;forum_id=9562</link>
   <description>&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;margin-bottom: 6.0pt; text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;The Bridge Lab, led by Dr. Tamar Green at Stanford University, is dedicated to researching the effects of altered genetics on brain development and neuropsychiatric conditions, with the aim of improving children's mental health and development. Our research focuses on identifying mechanistic targets for medical interventions through clinical research. We are committed to translational research that provides a deeper understanding of the brain and can enhance the lives of those affected by neuropsychiatric conditions. &amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;margin-bottom: 6.0pt; text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;This position offers mentorship from faculty with deep expertise in neuroimaging, genetics, and neurodevelopment, along with access to cutting-edge imaging technology and computational resources. You will have opportunities for professional development, including conference travel and grant writing experience, within a collaborative environment that bridges basic neuroscience and clinical research. Beyond the primary neuroimaging trial, you will have the opportunity to collaborate on projects involving the Human Neural Circuitry program and work with Dr. Karl Deisseroth's lab on genetic models of cutting-edge intracranial electrophysiology.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;margin-bottom: 6.0pt; text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;We are seeking a postdoctoral fellow to lead the neuroimaging component of a longitudinal, pediatric drug trial in Neurofibromatosis 1 (NF1). As a key member of our team, you will acquire and analyze multimodal MR images from children with NF1 using the state-of-the-art Siemens Cima X scanner located at Stanford's Lucas Center for Imaging. This position offers opportunity to work at the intersection of translational neuroscience, clinical research, and advanced neuroimaging methods while directly contributing to improved outcomes for children with neurodevelopmental conditions.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;Core Duties:&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;You will oversee all aspects of neuroimaging data collection and analysis for this clinical trial. Specific responsibilities include:&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Collaborating with staff and families to ensure high-quality multimodal scans are acquired at each time point, adapting protocols as needed to accommodate pediatric participants.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Maintaining longitudinal fidelity across the study by implementing rigorous quality-control procedures and ensuring consistency in acquisition parameters.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Applying standard and novel image-analysis pipelines and statistical techniques for individual, longitudinal, and group-level analyses.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Coordinating with the behavioral team to integrate cognitive and behavioral testing results with imaging data at each study visit.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Managing a REDCap database containing key neuroimaging, behavioral, and clinical measures.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Contributing to manuscript preparation and presenting findings at scientific conferences.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;Education:&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;margin-bottom: 6.0pt; text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;PhD required in engineering, neuroscience, biostatistics, bioinformatics, computer science, or a related quantitative field. We will consider candidates with a PhD in psychology or related disciplines who have a strong technical background in neuroimaging methods, as well as candidates with a PhD in MR-related subject matter.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;Required Technical Skills:&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Neuroimaging acquisition protocols and multimodal post-processing pipelines (structural MRI, diffusion MRI, functional MRI, and/or MR spectroscopy).&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Longitudinal statistical analysis methods, including approaches for handling missing data and mixed-effects models.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Proficiency with programming and statistical software packages such as R, Python, and MATLAB.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Experience with version-control systems (e.g., Git) and reproducible research practices.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;Preferred Technical Skills:&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Experience with neuroimaging-processing software packages such as FSL, FreeSurfer, ANTs, SPM, AFNI, or similar tools.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Familiarity with MR sequence programming on Siemens or GE platforms.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Knowledge of advanced preprocessing techniques including geometric unwarping, multi-site harmonization and registration methods, and longitudinal quality-control frameworks.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Experience with diffusion MRI analysis (tractography, microstructural modeling).&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Familiarity with functional-connectivity analysis and graph-theory approaches.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Experience with the Allen Brain Atlas or similar neuroanatomical reference databases.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Background in EEG acquisition and analysis.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Familiarity with machine-learning or artificial-intelligence approaches applied to neuroimaging data.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;Preferred Interpersonal and Clinical Skills:&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Experience working with children and families, particularly those with neurodevelopmental disorders.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Understanding of cognitive and behavioral assessment tools commonly used in pediatric research.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Ability to communicate complex technical concepts to diverse audiences, including families, clinicians, and administrative staff.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;Other Requirements:&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Willingness to travel to conferences and potential collaborating sites.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Flexibility to work occasional non-standard hours to accommodate participant scheduling needs.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Ability to work both independently and as part of a collaborative, multidisciplinary team.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Strong organizational skills and attention to detail.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;How to Apply:&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;Please submit the following materials to &amp;lt;/span&amp;gt;&amp;lt;a href=&amp;quot;mailto:bridgelab@stanford.edu&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;bridgelab@stanford.edu&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt; with the subject line &amp;quot;Imaging Postdoc Application&amp;quot;:&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Curriculum vitae&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Cover letter outlining your relevant experience, research interests, and how this position aligns with your career goals&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Availability to start&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Visa sponsorship requirements (if applicable)&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;bull; Names and contact information for three references&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;Applications will be reviewed on a rolling basis until the position is filled.&amp;lt;/span&amp;gt;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-family: 'Arial',sans-serif; mso-ascii-theme-font: minor-bidi; mso-hansi-theme-font: minor-bidi; mso-bidi-theme-font: minor-bidi;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;</description>
   <author>Mira Raman</author>
   <pubDate>Fri, 19 Dec 2025 13:42:45 GMT</pubDate>
   <guid>http://www.nitrc.org/forum/forum.php?thread_id=15926&amp;forum_id=9562</guid>
  </item>
  <item>
   <title>Postdoctoral Associate Position in Neuroimaging at the University of Miami Miller School of Medicine</title>
   <link>http://www.nitrc.org/forum/forum.php?thread_id=15919&amp;forum_id=9562</link>
   <description>&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;WACImageContainer NoPadding BlobObject SCXW140539203 BCX8&amp;quot; role=&amp;quot;presentation&amp;quot;&amp;gt;&amp;lt;img class=&amp;quot;WACImage CanvasCacheSaverIgnored SCXW140539203 BCX8&amp;quot; src=&amp;quot;data:image/png;base64,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&amp;quot; alt=&amp;quot;A close up of a logo&lt;br /&gt;
&lt;br /&gt;
Description automatically generated&amp;quot; width=&amp;quot;270&amp;quot; height=&amp;quot;60&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;WACImageContainer NoPadding BlobObject SCXW140539203 BCX8&amp;quot; role=&amp;quot;presentation&amp;quot;&amp;gt;&amp;lt;img class=&amp;quot;WACImage CanvasCacheSaverIgnored SCXW140539203 BCX8&amp;quot; src=&amp;quot;data:image/png;base64,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&amp;quot; width=&amp;quot;270&amp;quot; height=&amp;quot;60&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:2,&amp;amp;quot;335551620&amp;amp;quot;:2}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:2,&amp;amp;quot;335551620&amp;amp;quot;:2}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;Department of &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;Psychiatry and Behavioral Sciences&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:2,&amp;amp;quot;335551620&amp;amp;quot;:2}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:2,&amp;amp;quot;335551620&amp;amp;quot;:2}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;Postdoctoral Associate Position in Human Neuroimaging&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:2,&amp;amp;quot;335551620&amp;amp;quot;:2}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:2,&amp;amp;quot;335551620&amp;amp;quot;:2}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;University of Miami Miller Scho&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;ol&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; of Medicine&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, Miami, Florida, USA&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:2,&amp;amp;quot;335551620&amp;amp;quot;:2}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:2,&amp;amp;quot;335551620&amp;amp;quot;:2}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;The &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;IMPACT Mental Health&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;L&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;aboratory&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;within &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;the Department of Psychiatry at &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;the University of Miami Miller School of Medicine&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; is&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;seeking&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;highly motivated&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; postdoctoral scholar&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;s&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;in&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; the field of human&amp;lt;/span&amp;gt; &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;neuroimaging&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;. &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;Available&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; position&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;s&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; will &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;focus&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; on&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; anal&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;yzing &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;proton&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;magnetic resonance&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; spectroscopy&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; (MRS)&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;data&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; as well as &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;acquiring&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; or processing &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;related MR&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;I&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; and biological measures&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;C&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;andidate&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;s&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;should &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;either &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;have&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;completed &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;or be &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;near completi&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;ng &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;a PhD in neuroscience, psychology, cognitive &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;neuro&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;science, radiology, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;engineering,&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; biostatistics,&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; or &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;a &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;related field&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, and should have &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;a &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;s&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;t&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;r&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;ong&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;background &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;in &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;quantitative&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; analysis&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;. &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;Experience with MRS data acquisition &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;(&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;e.g.&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; MEGA-PRESS) &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;and processing&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; (&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;e.g.&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SpellingErrorV2Themed SCXW140539203 BCX8&amp;quot;&amp;gt;LCModel&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;) techniques as well as Unix/Linux scientific computing environments is expected. &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;Familiarity with &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;MATLAB&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, Python, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;or&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; R programming language&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;s&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; is a plus.&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;The primary responsibilit&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;ies&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; for this &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;postdoctoral fellow will be to &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;run scans, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;analyze neuroimaging data from multiple ongoing and recently concluded research projects&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, and write manuscripts&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;.&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;Under the mentorship of Vilma Gabbay, MD&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; and Benjamin&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; Ely&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, PhD&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;postdoctoral scholar&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;s &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;will be &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;expected to&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; advance &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;clinical&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; and &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;methodological&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; knowledge through &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;their&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; postdoctoral training. &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;Our lab is&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; dedicated to the study and treatment of &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;mood&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;,&amp;lt;/span&amp;gt; &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;anxiety&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, and &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;substance use&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; disorders&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; in &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;adolescent&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; and &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;adult&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; populations&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;using&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; innovative neuroimaging and&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; immunological methodologies&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;.&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;The&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; neuroimaging p&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;rogram&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;features high-resolution &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;data acquisition and analysis&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; techniques &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;and &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;is committed to the highest standards for &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;magnetic resonance imaging and spectroscopy&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;The &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;position is &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;funded &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;by &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;five&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; ongoing NIH R01 &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;neuroimaging &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;projects&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; (&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;R01MH120601&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;none&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;R01DA054885&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;R01MH128878&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;R01MH131207&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, and &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;R01DA059527&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;)&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;providing unparalleled&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;resources&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; for active and exploratory studies. Major research topics include longitudinal studies of adolescent mood and anxiety disorders; comorbidity of depression, cannabis use, and HIV infection; and an intervention&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; study aimed at improving well&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;-&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;being among healthcare workers with parental responsibilities during the COVID-19 pandemic. &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;Project abstracts &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;with further details &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;can be found on NIH &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SpellingErrorV2Themed SCXW140539203 BCX8&amp;quot;&amp;gt;RePORTER&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;Resources available on-campus and through long-standing collaborations include&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;multiple research-dedicated 3T&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;MRI scanner&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;s &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;(Siemens Skyra&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;/Vida&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;/Prisma&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;) with &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;cutting-edge&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;sequences&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; licensed from the University of Minnesota Center for Magnetic Resonance Research (CMRR)&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, high-performance scientific computing clusters, and &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;an extensive library of analytic and statistical software. &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;The PIs are&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; fully committed to fostering&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; the trainee's research&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; independence through &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;publication of &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;first-author&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;ed&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;manuscript&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;s&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;in top journals &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;and &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;mentorship in&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;grant&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; applications.&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;In addition to &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;assisting&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; with the PI&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;s'&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;proposals&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;, the successful applicant will be highly encouraged to develop&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; and pursue funding for&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; their own research project through federal (&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;e.g.&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; NIH F32) or foundation &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;grant &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;programs by the end of their first year.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;Please send a CV, statement of interest, and contact information for three references to &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;a class=&amp;quot;Hyperlink SCXW140539203 BCX8&amp;quot; href=&amp;quot;mailto:axo833@med.miami.edu&amp;quot; target=&amp;quot;_blank&amp;quot; rel=&amp;quot;noreferrer noopener&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun Underlined SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;none&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot; data-ccp-charstyle=&amp;quot;Hyperlink&amp;quot;&amp;gt;axo833@med.miami.edu&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW140539203 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt;. All qualified candidates will be given equal consideration. Priority will be given to candidates available to start sooner. Compensation will be proportional to experience and will follow standard postdoctoral fellowship rates posted by&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; the&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW140539203 BCX8&amp;quot;&amp;gt; University of Miami.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW140539203 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW140539203 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW140539203 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;</description>
   <author>ANDREA OTERO OSPINA</author>
   <pubDate>Tue, 09 Dec 2025 22:28:22 GMT</pubDate>
   <guid>http://www.nitrc.org/forum/forum.php?thread_id=15919&amp;forum_id=9562</guid>
  </item>
  <item>
   <title>Postdoctoral Associate Position in Neuroimaging at the University of Miami Miller School of Medicine</title>
   <link>http://www.nitrc.org/forum/forum.php?thread_id=15867&amp;forum_id=9562</link>
   <description>&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: center; mso-pagination: none; mso-layout-grid-align: none; text-autospace: none;&amp;quot; align=&amp;quot;center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;mso-no-proof: yes;&amp;quot;&amp;gt;&amp;lt;!-- [if gte vml 1]&amp;gt;&amp;lt;v:shapetype&lt;br /&gt;
 id=&amp;quot;_x0000_t75&amp;quot; coordsize=&amp;quot;21600,21600&amp;quot; o:spt=&amp;quot;75&amp;quot; o:preferrelative=&amp;quot;t&amp;quot;&lt;br /&gt;
 path=&amp;quot;m@4@5l@4@11@9@11@9@5xe&amp;quot; filled=&amp;quot;f&amp;quot; stroked=&amp;quot;f&amp;quot;&amp;gt;&lt;br /&gt;
 &amp;lt;v:stroke joinstyle=&amp;quot;miter&amp;quot;/&amp;gt;&lt;br /&gt;
 &amp;lt;v:formulas&amp;gt;&lt;br /&gt;
  &amp;lt;v:f eqn=&amp;quot;if lineDrawn pixelLineWidth 0&amp;quot;/&amp;gt;&lt;br /&gt;
  &amp;lt;v:f eqn=&amp;quot;sum @0 1 0&amp;quot;/&amp;gt;&lt;br /&gt;
  &amp;lt;v:f eqn=&amp;quot;sum 0 0 @1&amp;quot;/&amp;gt;&lt;br /&gt;
  &amp;lt;v:f eqn=&amp;quot;prod @2 1 2&amp;quot;/&amp;gt;&lt;br /&gt;
  &amp;lt;v:f eqn=&amp;quot;prod @3 21600 pixelWidth&amp;quot;/&amp;gt;&lt;br /&gt;
  &amp;lt;v:f eqn=&amp;quot;prod @3 21600 pixelHeight&amp;quot;/&amp;gt;&lt;br /&gt;
  &amp;lt;v:f eqn=&amp;quot;sum @0 0 1&amp;quot;/&amp;gt;&lt;br /&gt;
  &amp;lt;v:f eqn=&amp;quot;prod @6 1 2&amp;quot;/&amp;gt;&lt;br /&gt;
  &amp;lt;v:f eqn=&amp;quot;prod @7 21600 pixelWidth&amp;quot;/&amp;gt;&lt;br /&gt;
  &amp;lt;v:f eqn=&amp;quot;sum @8 21600 0&amp;quot;/&amp;gt;&lt;br /&gt;
  &amp;lt;v:f eqn=&amp;quot;prod @7 21600 pixelHeight&amp;quot;/&amp;gt;&lt;br /&gt;
  &amp;lt;v:f eqn=&amp;quot;sum @10 21600 0&amp;quot;/&amp;gt;&lt;br /&gt;
 &amp;lt;/v:formulas&amp;gt;&lt;br /&gt;
 &amp;lt;v:path o:extrusionok=&amp;quot;f&amp;quot; gradientshapeok=&amp;quot;t&amp;quot; o:connecttype=&amp;quot;rect&amp;quot;/&amp;gt;&lt;br /&gt;
 &amp;lt;o:lock v:ext=&amp;quot;edit&amp;quot; aspectratio=&amp;quot;t&amp;quot;/&amp;gt;&lt;br /&gt;
&amp;lt;/v:shapetype&amp;gt;&amp;lt;v:shape id=&amp;quot;Picture_x0020_356501020&amp;quot; o:spid=&amp;quot;_x0000_i1026&amp;quot;&lt;br /&gt;
 type=&amp;quot;#_x0000_t75&amp;quot; alt=&amp;quot;A close up of a logo&amp;amp;#10;&amp;amp;#10;Description automatically generated&amp;quot;&lt;br /&gt;
 style='width:203pt;height:46pt;visibility:visible;mso-wrap-style:square'&amp;gt;&lt;br /&gt;
 &amp;lt;v:imagedata src=&amp;quot;file:////Users/axo833/Library/Group%20Containers/UBF8T346G9.Office/TemporaryItems/msohtmlclip/clip_image001.png&amp;quot;&lt;br /&gt;
  o:title=&amp;quot;A close up of a logo&amp;amp;#10;&amp;amp;#10;Description automatically generated&amp;quot;/&amp;gt;&lt;br /&gt;
&amp;lt;/v:shape&amp;gt;&amp;lt;![endif]--&amp;gt;&amp;lt;!-- [if !vml]--&amp;gt;&amp;lt;img src=&amp;quot;file:////Users/axo833/Library/Group%20Containers/UBF8T346G9.Office/TemporaryItems/msohtmlclip/clip_image001.png&amp;quot; alt=&amp;quot;A close up of a logo&lt;br /&gt;
&lt;br /&gt;
Description automatically generated&amp;quot; width=&amp;quot;203&amp;quot; height=&amp;quot;46&amp;quot;&amp;gt;&amp;lt;!--[endif]--&amp;gt;&amp;lt;!-- [if gte vml 1]&amp;gt;&amp;lt;v:shape&lt;br /&gt;
 id=&amp;quot;Picture_x0020_1834938127&amp;quot; o:spid=&amp;quot;_x0000_i1025&amp;quot; type=&amp;quot;#_x0000_t75&amp;quot;&lt;br /&gt;
 style='width:203pt;height:46pt;visibility:visible;mso-wrap-style:square'&amp;gt;&lt;br /&gt;
 &amp;lt;v:imagedata src=&amp;quot;file:////Users/axo833/Library/Group%20Containers/UBF8T346G9.Office/TemporaryItems/msohtmlclip/clip_image001.png&amp;quot;&lt;br /&gt;
  o:title=&amp;quot;&amp;quot;/&amp;gt;&lt;br /&gt;
&amp;lt;/v:shape&amp;gt;&amp;lt;![endif]--&amp;gt;&amp;lt;!-- [if !vml]--&amp;gt;&amp;lt;img src=&amp;quot;file:////Users/axo833/Library/Group%20Containers/UBF8T346G9.Office/TemporaryItems/msohtmlclip/clip_image001.png&amp;quot; width=&amp;quot;203&amp;quot; height=&amp;quot;46&amp;quot;&amp;gt;&amp;lt;!--[endif]--&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: center; mso-pagination: none;&amp;quot; align=&amp;quot;center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;mso-pagination: none;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: center; mso-pagination: none;&amp;quot; align=&amp;quot;center&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;Department of Psychiatry and Behavioral Sciences&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: center; mso-pagination: none;&amp;quot; align=&amp;quot;center&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: center; mso-pagination: none;&amp;quot; align=&amp;quot;center&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;Postdoctoral Associate Position in Human Neuroimaging &amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: center; mso-pagination: none;&amp;quot; align=&amp;quot;center&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: center; mso-pagination: none;&amp;quot; align=&amp;quot;center&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;University of Miami Miller School of Medicine, Miami, Florida, USA &amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: center; mso-pagination: none; mso-layout-grid-align: none; text-autospace: none;&amp;quot; align=&amp;quot;center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify; text-justify: inter-ideograph; text-indent: .25in; mso-pagination: none; mso-layout-grid-align: none; text-autospace: none;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;The Gabbay Laboratory within the Department of Psychiatry at the University of Miami Miller School of Medicine is seeking highly motivated postdoctoral scholars in the field of human &amp;lt;strong style=&amp;quot;mso-bidi-font-weight: normal;&amp;quot;&amp;gt;neuroimaging&amp;lt;/strong&amp;gt;. Available positions will focus on analyzing &amp;lt;strong style=&amp;quot;mso-bidi-font-weight: normal;&amp;quot;&amp;gt;fMRI&amp;lt;/strong&amp;gt; and proton &amp;lt;strong&amp;gt;MR spectroscopy&amp;lt;/strong&amp;gt; data as well as acquiring or processing related MRI and biological measures.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify; text-justify: inter-ideograph; text-indent: .25in; mso-pagination: none; mso-layout-grid-align: none; text-autospace: none;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;Candidates should either have completed or be near completing a PhD in neuroscience, psychology, cognitive neuroscience, radiology, engineering, biostatistics, or a related field, and should have a strong background in&amp;amp;nbsp;&amp;lt;strong style=&amp;quot;mso-bidi-font-weight: normal;&amp;quot;&amp;gt;quantitative analysis&amp;lt;/strong&amp;gt;. Proficiencies with at least one major neuroimaging software suite (e.g. FSL, AFNI, SPM, Freesurfer, Caret, Connectome Workbench, etc.) and Unix/Linux environment are expected. Familiarity with Matlab, Python, and/or R programming languages is a plus. The primary responsibilities for this postdoctoral fellow will be to run scans, analyze neuroimaging data from multiple ongoing and recently concluded research projects, and write manuscripts. &amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify; text-justify: inter-ideograph; text-indent: .25in; mso-pagination: none; mso-layout-grid-align: none; text-autospace: none;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;Under the mentorship of Vilma Gabbay, MD and Benjamin Ely, PhD, postdoctoral scholars will be expected to advance &amp;lt;strong style=&amp;quot;mso-bidi-font-weight: normal;&amp;quot;&amp;gt;clinical&amp;lt;/strong&amp;gt; and &amp;lt;strong style=&amp;quot;mso-bidi-font-weight: normal;&amp;quot;&amp;gt;methodological&amp;lt;/strong&amp;gt; knowledge through their postdoctoral training. Our lab is dedicated to the study and treatment of &amp;lt;strong&amp;gt;mood&amp;lt;/strong&amp;gt;, &amp;lt;strong&amp;gt;anxiety&amp;lt;/strong&amp;gt;, and &amp;lt;strong&amp;gt;substance use disorders&amp;lt;/strong&amp;gt; in &amp;lt;strong&amp;gt;adolescent&amp;lt;/strong&amp;gt; and &amp;lt;strong&amp;gt;high-risk adult&amp;lt;/strong&amp;gt; (e.g. HIV+) populations using innovative neuroimaging and immunological methodologies. The neuroimaging program features high-resolution data acquisition and analysis techniques modeled on the Human Connectome Project (HCP) and is committed to the highest standards for magnetic resonance imaging and spectroscopy.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify; text-justify: inter-ideograph; text-indent: .25in; mso-pagination: none; mso-layout-grid-align: none; text-autospace: none;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;The lab is funded by four ongoing NIH R01 neuroimaging studies (R01MH120601, &amp;lt;span style=&amp;quot;color: black; mso-themecolor: text1;&amp;quot;&amp;gt;R01DA054885&amp;lt;/span&amp;gt;, R01MH128878, and R01MH131207) and several smaller grants, providing unparalleled funding for active and exploratory studies. Major research topics include longitudinal studies of adolescent mood and anxiety disorders; comorbidity of depression, cannabis use, and HIV infection; and an intervention study aimed at improving well-being among healthcare workers with parental responsibilities during the COVID-19 pandemic. Project abstracts with further details can be found on NIH RePORTER.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify; text-justify: inter-ideograph; text-indent: .25in; mso-pagination: none; mso-layout-grid-align: none; text-autospace: none;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;Resources available on-campus and through long-standing collaborations include multiple research-dedicated 3T MRI scanners (Siemens Skyra/Vida/Prisma) with cutting-edge accelerated and multi-echo fMRI sequences, high-performance scientific computing clusters, and an extensive library of analytic and statistical software. The PIs are fully committed to fostering the trainee's research independence through publication of first-authored manuscripts in top journals and mentorship in grant applications. In addition to assisting with the PI&amp;amp;rsquo;s proposals, the successful applicant will be highly encouraged to develop and pursue funding for their own research project through federal (e.g. NIH F32) or foundation grant programs by the end of their first year.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify; text-justify: inter-ideograph; text-indent: .25in; mso-pagination: none; mso-layout-grid-align: none; text-autospace: none;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;Please send a CV, statement of interest, and contact information for three references to &amp;lt;/span&amp;gt;&amp;lt;a href=&amp;quot;mailto:axo833@med.miami.edu&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;axo833@med.miami.edu&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;. University of Miami is an equal opportunity employer, and all qualified candidates will be given equal consideration. Priority will be given to candidates available to start sooner. Compensation will be proportional to experience and will follow standard postdoctoral fellowship rates posted by University of Miami.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify; text-justify: inter-ideograph; text-indent: .25in; mso-pagination: none; mso-layout-grid-align: none; text-autospace: none;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify; text-justify: inter-ideograph; mso-pagination: none; mso-layout-grid-align: none; text-autospace: none;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 11.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;</description>
   <author>ANDREA OTERO OSPINA</author>
   <pubDate>Thu, 25 Sep 2025 14:14:35 GMT</pubDate>
   <guid>http://www.nitrc.org/forum/forum.php?thread_id=15867&amp;forum_id=9562</guid>
  </item>
  <item>
   <title>Job offer for Postdoctoral Researcher in Computational Neuroimaging (Psychosis &amp;amp; Lifespan Normative Modelling)</title>
   <link>http://www.nitrc.org/forum/forum.php?thread_id=15851&amp;forum_id=9562</link>
   <description>&lt;p&gt;Position has been filled...&lt;/p&gt;</description>
   <author>i5gach</author>
   <pubDate>Tue, 02 Sep 2025 20:02:51 GMT</pubDate>
   <guid>http://www.nitrc.org/forum/forum.php?thread_id=15851&amp;forum_id=9562</guid>
  </item>
  <item>
   <title>Postdoc opening @NIH: fMRI, PET, and dopamine in human addiction</title>
   <link>http://www.nitrc.org/forum/forum.php?thread_id=15794&amp;forum_id=9562</link>
   <description>&amp;lt;p class=&amp;quot;MsoTitle&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 20.0pt; mso-bidi-font-size: 9.0pt;&amp;quot;&amp;gt;POSTDOCTORAL FELLOW&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoPlainText&amp;quot; style=&amp;quot;margin-right: -4.3pt; text-align: center;&amp;quot; align=&amp;quot;center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 14.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;National Institute on Alcohol Abuse and Alcoholism (NIAAA), &amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoPlainText&amp;quot; style=&amp;quot;margin-right: -4.3pt; text-align: center;&amp;quot; align=&amp;quot;center&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 14.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;National Institutes of Health (NIH)&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoTitle&amp;quot; style=&amp;quot;text-align: left;&amp;quot; align=&amp;quot;left&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 10.0pt;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: center;&amp;quot; align=&amp;quot;center&amp;quot;&amp;gt;&amp;lt;strong style=&amp;quot;mso-bidi-font-weight: normal;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 14.0pt; mso-bidi-font-family: Calibri; mso-bidi-theme-font: minor-latin;&amp;quot;&amp;gt;Substance Use Disorder and Neuroimaging&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 9.0pt; font-family: 'Arial',sans-serif;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; mso-themecolor: text1; background: white;&amp;quot;&amp;gt;The Laboratory of Neuroimaging (LNI, Chief: Nora D. Volkow, M.D.) in the NIAAA intramural program is recruiting a post-doctoral researcher &amp;lt;strong style=&amp;quot;mso-bidi-font-weight: normal;&amp;quot;&amp;gt;to conduct multimodal neuroimaging and neuropsychological research&amp;lt;/strong&amp;gt; in substance use disorders within the Clinical Research Center on the main NIH campus in Bethesda, MD.&amp;amp;nbsp;Candidates should be a &amp;lt;/span&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; mso-themecolor: text1;&amp;quot;&amp;gt;highly motivated&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; mso-themecolor: text1; background: white;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; mso-themecolor: text1;&amp;quot;&amp;gt;postdoctoral&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; mso-themecolor: text1; background: white;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;strong style=&amp;quot;mso-bidi-font-weight: normal;&amp;quot;&amp;gt;fellow&amp;lt;/strong&amp;gt; with a strong interest in conducting &amp;lt;strong&amp;gt;clinical trials that assess &amp;lt;/strong&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; mso-themecolor: text1;&amp;quot;&amp;gt;brain function &amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; mso-themecolor: text1; background: white;&amp;quot;&amp;gt;and&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; mso-themecolor: text1;&amp;quot;&amp;gt;behavior in substance use disorder.&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; mso-themecolor: text1; background: white;&amp;quot;&amp;gt;&amp;amp;nbsp;LNI&amp;amp;nbsp;conducts structural, functional and neurochemical imaging studies in human subjects using PET, MRI, simultaneous PET/MRI, and EEG. &amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; mso-themecolor: text1;&amp;quot;&amp;gt;This post-doctoral fellow will assist with clinical trials design, management, and implementation, as well as data analysis and publication of findings. In addition, the fellow will work on secondary data projects and will have the opportunity to develop their own research questions related to substance use disorders. This position will involve substantial interaction with patient populations including individuals with alcohol use disorder and opioid use disorder.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; mso-fareast-language: KO;&amp;quot;&amp;gt;Applicants must have a &amp;lt;/span&amp;gt;&amp;lt;a name=&amp;quot;_Hlk534298850&amp;quot;&amp;gt;&amp;lt;/a&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; mso-themecolor: text1;&amp;quot;&amp;gt;PhD, MD or MD/PhD in neuroscience or related field (MD should be eligible for state board in the U.S.)&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; mso-themecolor: text1;&amp;quot;&amp;gt;, strong oral and written communication skills, strong interpersonal and team-building skills, proficiency in Microsoft Office Suite (MS Word, Excel, Outlook, Access, PowerPoint) and Adobe Acrobat Professional software applications, some experience in Linux/Matlab/C/Perl/Python programming as well neuroimaging analysis tools (e.g. AFNI, FSL, SPM, FreeSurfer, MincTools) would be a plus, and interest and/or expertise in some of the following topics: Brain physiology, Task-based and resting-state fMRI analyses, EEG data acquisition and analysis.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt;&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; mso-fareast-language: KO;&amp;quot;&amp;gt;Applicants should send a cover letter describing your interest and rationale for pursuing a postdoc, a resume/CV, three references with contact information, and two writing samples (should demonstrate ability to communicate complex concepts in plain language&amp;amp;mdash;e.g., research summary for website or lay audience) to: &amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; background: white;&amp;quot;&amp;gt;Dr.&amp;amp;nbsp;Dardo Tomasi by email to &amp;lt;/span&amp;gt;&amp;lt;a href=&amp;quot;mailto:dardo.tomasi@nih.gov&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; background: white;&amp;quot;&amp;gt;dardo.tomasi@nih.gov&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;&amp;lt;span style=&amp;quot;mso-bidi-font-size: 12.0pt; color: black; background: white;&amp;quot;&amp;gt; by &amp;lt;strong&amp;gt;&amp;lt;u&amp;gt;July 31, 2025.&amp;lt;/u&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;</description>
   <author>Dardo Tomasi</author>
   <pubDate>Wed, 02 Jul 2025 13:18:07 GMT</pubDate>
   <guid>http://www.nitrc.org/forum/forum.php?thread_id=15794&amp;forum_id=9562</guid>
  </item>
  <item>
   <title>Postdoctoral Associate Position in Neuroimaging at the University of Miami Miller School of Medicine</title>
   <link>http://www.nitrc.org/forum/forum.php?thread_id=15729&amp;forum_id=9562</link>
   <description>&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW160474838 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;WACImageContainer NoPadding DragDrop BlobObject SCXW160474838 BCX8&amp;quot; role=&amp;quot;presentation&amp;quot;&amp;gt;&amp;lt;img class=&amp;quot;WACImage SCXW160474838 BCX8&amp;quot; src=&amp;quot;data:image/png;base64,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&amp;quot; alt=&amp;quot;A close up of a logo&lt;br /&gt;
&lt;br /&gt;
Description automatically generated&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW160474838 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:2,&amp;amp;quot;335551620&amp;amp;quot;:2}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW160474838 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;Department of &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;Psychiatry and Behavioral Sciences&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;EOP SCXW160474838 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:2,&amp;amp;quot;335551620&amp;amp;quot;:2}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW160474838 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;Postdoctoral Associate Position in Human Neuroimaging&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW160474838 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:2,&amp;amp;quot;335551620&amp;amp;quot;:2}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW160474838 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;University of Miami Miller Scho&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;ol&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; of Medicine&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;, Miami, Florida, USA&amp;lt;/span&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW160474838 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:2,&amp;amp;quot;335551620&amp;amp;quot;:2}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW160474838 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW160474838 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:2,&amp;amp;quot;335551620&amp;amp;quot;:2}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW160474838 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;The &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;Gabbay &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;L&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;aboratory&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; within &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;the Department of Psychiatry at &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;the University of Miami Miller School of Medicine&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; is&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; seeking &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;highly motivated&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; postdoctoral scholar&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;s&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;in&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; the field of human&amp;lt;/span&amp;gt; &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;neuroimaging&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;. &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;Available&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; position&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;s&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; will &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;focus&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; on&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; anal&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;yzing &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;fMRI&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;and proton &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;MR spectroscopy&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;data&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; as well as &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;acquiring or processing &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;related MR&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;I&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; and biological measures&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW160474838 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW160474838 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;C&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;andidate&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;s&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;should &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;either &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;have&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;completed &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;or be &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;near completi&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;ng &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;a PhD in neuroscience, psychology, cognitive &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;neuro&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;science, radiology, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;engineering,&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; biostatistics,&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; or &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;a &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;related field&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;, and should have &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;a &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;s&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;t&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;r&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;ong&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;background &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;in &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;quantitative&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; analysis&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;. &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;Proficiencies&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; with &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;at least one&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;major &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;neuroimaging software &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;suite &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;(e.g. FSL, AFNI, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;SPM, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;SpellingError SCXW160474838 BCX8&amp;quot;&amp;gt;Freesurfer&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;,&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; Caret,&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; Connectome &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;W&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;orkbench&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;,&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; etc.)&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;and Unix/Linux environment &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;are&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;expected&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;.&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;Familiarity with &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;Matlab&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;, Python, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;and/&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;or R programming language&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;s&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; is a plus.&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;The primary responsibilit&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;ies&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; for this &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;postdoctoral fellow will be to &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;run scans, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;analyze neuroimaging data from multiple ongoing and recently concluded research projects&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;, and write manuscripts&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;.&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW160474838 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW160474838 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;Under the mentorship of Vilma Gabbay, MD&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; and Benjamin&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; Ely&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;, PhD&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;postdoctoral scholar&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;s &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;will be &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;expected to&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; advance &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;clinical&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; and &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;methodological&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; knowledge through &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;their&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; postdoctoral training. &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;Our lab is&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; dedicated to the study and treatment of &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;mood&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;,&amp;lt;/span&amp;gt; &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;anxiety&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;, and &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;substance use&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; disorders&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; in &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;adolescent&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; and &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun MacChromeBold SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;high-risk adult&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; (e.g. HIV+) populations&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;using&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; innovative neuroimaging and&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; immunological methodologies&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;.&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;The&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; neuroimaging p&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;rogram&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;features high-resolution &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;data acquisition and analysis&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; techniques &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;modeled on the&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; Human Connectome Project (HCP)&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; and &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;is committed to the highest standards for &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;magnetic resonance imaging and spectroscopy&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW160474838 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW160474838 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;The lab is funded &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;by &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;four&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; ongoing NIH R01 &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;neuroimaging &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;studies (&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;R01MH120601&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;, &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;none&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;R01DA054885&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;R01MH128878&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;, &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;and &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;R01MH131207&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;) and several&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; smaller gr&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;ants, providing unparalleled&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; funding for active and exploratory studies. Major research topics include longitudinal studies of adolescent mood and anxiety disorders; comorbidity of depression, cannabis use, and HIV infection; and an intervention&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; study aimed at improving well&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;-&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;being among healthcare workers with parental responsibilities during the COVID-19 pandemic. &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;Project abstracts &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;with further details &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;can be found on NIH &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;SpellingError SCXW160474838 BCX8&amp;quot;&amp;gt;RePORTER&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW160474838 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW160474838 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;Resources available on-campus and through long-standing collaborations include&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;multiple research-dedicated 3T&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;MRI scanner&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;s &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;(Siemens Skyra&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;/Vida&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;/Prisma&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;) with cutting-edge accelerated &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;and multi-echo &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;fMRI&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; sequences&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;, high-performance scientific computing clusters, and &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;an extensive library of analytic and statistical software. &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;The PIs are&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; fully committed to fostering&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; the trainee's research&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; independence through &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;publication of &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;first-author&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;ed&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;manuscript&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;s&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;in top journals &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;and &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;mentorship in&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;grant&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; applications.&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;In addition to assisting with the PI&amp;amp;rsquo;s&amp;lt;/span&amp;gt; &amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;proposals&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;, the successful applicant will be highly encouraged to develop&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; and pursue funding for&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt; their own research project through federal (e.g. NIH F32) or foundation &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;grant &amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;programs by the end of their first year.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW160474838 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW160474838 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;Please send a CV, statement of interest, and contact information for three references to &amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;a class=&amp;quot;Hyperlink SCXW160474838 BCX8&amp;quot; href=&amp;quot;mailto:axo833@med.miami.edu&amp;quot; target=&amp;quot;_blank&amp;quot; rel=&amp;quot;noreferrer noopener&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;TextRun Underlined SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;none&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot; data-ccp-charstyle=&amp;quot;Hyperlink&amp;quot;&amp;gt;axo833@med.miami.edu&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;&amp;lt;span class=&amp;quot;TextRun SCXW160474838 BCX8&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW160474838 BCX8&amp;quot;&amp;gt;. All qualified candidates will be given equal consideration. Priority will be given to candidates available to start sooner. Compensation will be proportional to experience and will follow standard postdoctoral fellowship rates posted by University of Miami.&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW160474838 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;div class=&amp;quot;OutlineElement Ltr SCXW160474838 BCX8&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;Paragraph SCXW160474838 BCX8&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;EOP SCXW160474838 BCX8&amp;quot; data-ccp-props=&amp;quot;{&amp;amp;quot;134245417&amp;amp;quot;:false,&amp;amp;quot;335551550&amp;amp;quot;:6,&amp;amp;quot;335551620&amp;amp;quot;:6,&amp;amp;quot;335559731&amp;amp;quot;:360}&amp;quot;&amp;gt;&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;</description>
   <author>ANDREA OTERO OSPINA</author>
   <pubDate>Thu, 01 May 2025 18:05:57 GMT</pubDate>
   <guid>http://www.nitrc.org/forum/forum.php?thread_id=15729&amp;forum_id=9562</guid>
  </item>
  <item>
   <title>Professor in Neuroscience, Whiteknights Reading UK</title>
   <link>http://www.nitrc.org/forum/forum.php?thread_id=15709&amp;forum_id=9562</link>
   <description>&lt;p&gt;Click &lt;a href=&quot;https://jobs.reading.ac.uk/Job/JobDetail?JobId=24256&quot;&gt;here &lt;/a&gt;for more information:&amp;nbsp;&lt;/p&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12 mt-2&quot; data-testid=&quot;div-reference&quot;&gt;&lt;strong class=&quot;reference&quot; data-testid=&quot;strong-reference&quot;&gt;Job reference:&lt;/strong&gt;&amp;nbsp;&lt;span data-testid=&quot;span-reference&quot;&gt;SRF50662&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-salary&quot;&gt;&lt;strong class=&quot;&quot; data-testid=&quot;strong-salary&quot;&gt;Salary:&lt;/strong&gt;&amp;nbsp;&lt;span class=&quot;text-black-70&quot; data-testid=&quot;span-salary&quot;&gt;Competitive salary&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-close-date&quot;&gt;&lt;strong class=&quot;closing-date&quot; data-testid=&quot;strong-vacancies-close-date&quot;&gt;Closing date:&lt;/strong&gt;&amp;nbsp;16/05/2025&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-department&quot;&gt;&lt;strong class=&quot;closing-date&quot; data-testid=&quot;strong-vacancies-department&quot;&gt;Department:&lt;/strong&gt;&amp;nbsp;&lt;span data-testid=&quot;span-vacancies-department&quot;&gt;School of Psychology &amp;amp; Clinical Language Sciences&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-location&quot;&gt;&lt;strong class=&quot;location&quot; data-testid=&quot;strong-vacancies-location&quot;&gt;Location:&lt;/strong&gt;&amp;nbsp;&lt;span data-testid=&quot;span-vacancies-loaction-name&quot;&gt;Whiteknights Reading UK&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-employment-type&quot;&gt;&lt;strong class=&quot;closing-date&quot; data-testid=&quot;strong-vacancies-employment-type&quot;&gt;Employment type:&lt;/strong&gt;&amp;nbsp;&lt;span data-testid=&quot;span-vacancies-employment-type&quot;&gt;AR-Academic (Professor)&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-division&quot;&gt;&lt;strong class=&quot;&quot; data-testid=&quot;strong-vacancies-division&quot;&gt;Division:&lt;/strong&gt;&amp;nbsp;&lt;span class=&quot;text-black-70&quot; data-testid=&quot;span-vacancies-division&quot;&gt;Psychology&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-hours&quot;&gt;&lt;strong class=&quot;&quot; data-testid=&quot;strong-vacancies-hours&quot;&gt;Hours Per Week:&lt;/strong&gt;&amp;nbsp;&lt;span class=&quot;text-black-70&quot; data-testid=&quot;span-main-vacancies-hours&quot;&gt;&lt;span data-testid=&quot;span-sub-vacancies-hours&quot;&gt;FTE: 1.00 (35 Hours)&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-live-date&quot;&gt;&lt;strong class=&quot;closing-date&quot; data-testid=&quot;strong-vacancies-live-date&quot;&gt;Job live date:&lt;/strong&gt;&amp;nbsp;24/03/2025&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-duration&quot;&gt;&lt;strong class=&quot;&quot; data-testid=&quot;strong-vacancies-duration&quot;&gt;Employment Basis/Type:&lt;/strong&gt;&amp;nbsp;&lt;span class=&quot;text-black-70&quot; data-testid=&quot;span-vacancies-duration&quot;&gt;Full time, Permanent&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-duration&quot;&gt;&amp;nbsp;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-duration&quot;&gt;&lt;br /&gt;
&lt;h2 class=&quot;text-system text-primary job-discription-h2 mb-20&quot; data-testid=&quot;h2-job-discription&quot;&gt;Job Description&lt;/h2&gt;&lt;br /&gt;
&lt;div id=&quot;Media_Rich_Advert&quot; data-testid=&quot;div-media-rich-advert&quot;&gt;&lt;br /&gt;
&lt;div class=&quot;JT-inner&quot;&gt;&lt;br /&gt;
&lt;div class=&quot;JT-row JT-col-12 JT-section JT-text JT-text-100 JT-site JT-twelve JT-column&quot;&gt;&lt;br /&gt;
&lt;div class=&quot;JT-container&quot;&gt;&lt;br /&gt;
&lt;p&gt;The School of Psychology and Clinical Language Sciences is seeking to appoint a full-time, permanent Professor to pursue an ambitious research programme in affective, cognitive, developmental, clinical or applied neuroscience. We particularly welcome candidates whose research area will complement our research strengths in mental health and wellbeing across the lifespan, in areas such as: healthy and pathological ageing; child and adolescent development and psychopathology; nutrition, diet and physical activity; chronic, neurodevelopmental, and neurodegenerative health conditions. We also encourage candidates with interdisciplinary research agendas, who have an interest in developing brain imaging or analysis methods or whose research will benefit from the unique multimodal human neuroscience capabilities of the Centre for Integrative Neuroscience and Neurodynamics (CINN).&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;&lt;br&gt;This position is available on a full-time (or part-time) permanent basis from 1st September 2025, or as soon as possible thereafter.&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;&lt;br&gt;The successful candidate will:&lt;br&gt;1. Have a PhD in psychology, neuroscience or related discipline&lt;br&gt;2. Be internationally recognised for their neuroscience research in affective, cognitive, developmental, clinical or applied neuroscience and will have a track record of significant grant funding (particularly that supporting MRI/fMRI research) with high-quality publications and ambitious plans to continue to grow their programme of research.&lt;br&gt;3. Have research and leadership skills commensurate with a senior academic position.&lt;br&gt;4. Have extensive experience of delivery of excellent research-led Teaching &amp;amp; Learning at UG and PG levels, impacting positively on the student experience/outcomes&lt;br&gt;&lt;br&gt;&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Please see the job description and personal specification for further details.&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;The closing date for applications is 23.59 on 16th May 2025&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Interview date - 18th June 2025&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;For more information, please contact:&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Contact Name: Prof Carmel Houston-Price&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Contact Job Title: Head of School of Psychology &amp;amp; Clinical Language Sciences&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Contact Email address: carmel.houston-price@reading.ac.uk&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Alternative Contact Name: Professor Carien van Reekum&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Alternative Contact Job Title: Academic Director of the Centre for Neuroscience and Neurodynamics (CINN)&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Alternative Contact Email address: c.vanreekum@reading.ac.uk&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;br /&gt;
&lt;p class=&quot;x&quot;&gt;By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route.  Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the&lt;em&gt;&amp;nbsp;&lt;/em&gt;&lt;a href=&quot;https://www.gov.uk/government/organisations/uk-visas-and-immigration&quot; data-cke-saved-href=&quot;https://www.gov.uk/government/organisations/uk-visas-and-immigration&quot;&gt;&lt;em&gt;UK Visas and Immigration Website&lt;/em&gt;&lt;/a&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;&lt;br /&gt;
&lt;p class=&quot;x&quot;&gt;The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and champions LGBT+ equality. We are a Disability Confident Employer (Level 2). Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.&lt;/p&gt;&lt;br /&gt;
&lt;/div&gt;&lt;br /&gt;
&lt;/div&gt;&lt;br /&gt;
&lt;/div&gt;&lt;br /&gt;
&lt;/div&gt;&lt;br /&gt;
&lt;/div&gt;</description>
   <author>Nina Preuss</author>
   <pubDate>Fri, 11 Apr 2025 0:44:38 GMT</pubDate>
   <guid>http://www.nitrc.org/forum/forum.php?thread_id=15709&amp;forum_id=9562</guid>
  </item>
  <item>
   <title>Lectureships: UOR - Job Information | Apply for Lectureships in Psychology</title>
   <link>http://www.nitrc.org/forum/forum.php?thread_id=15708&amp;forum_id=9562</link>
   <description>&lt;div class=&quot;col-md-12 mt-2&quot; data-testid=&quot;div-reference&quot;&gt;&lt;span class=&quot;text-black-70&quot; data-testid=&quot;span-vacancies-duration&quot;&gt;Click &lt;a href=&quot;https://jobs.reading.ac.uk/Job/JobDetail?JobId=24262&quot;&gt;here &lt;/a&gt;for more information:&amp;nbsp;&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12 mt-2&quot; data-testid=&quot;div-reference&quot;&gt;&amp;nbsp;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-salary&quot;&gt;&lt;strong class=&quot;&quot; data-testid=&quot;strong-salary&quot;&gt;Salary:&lt;/strong&gt;&amp;nbsp;&lt;span class=&quot;text-black-70&quot; data-testid=&quot;span-salary&quot;&gt;&amp;pound;45585 - &amp;pound;56021 per annum&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-close-date&quot;&gt;&lt;strong class=&quot;closing-date&quot; data-testid=&quot;strong-vacancies-close-date&quot;&gt;Closing date:&lt;/strong&gt;&amp;nbsp;23/04/2025&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-department&quot;&gt;&lt;strong class=&quot;closing-date&quot; data-testid=&quot;strong-vacancies-department&quot;&gt;Department:&lt;/strong&gt;&amp;nbsp;&lt;span data-testid=&quot;span-vacancies-department&quot;&gt;School of Psychology &amp;amp; Clinical Language Sciences&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-location&quot;&gt;&lt;strong class=&quot;location&quot; data-testid=&quot;strong-vacancies-location&quot;&gt;Location:&lt;/strong&gt;&amp;nbsp;&lt;span data-testid=&quot;span-vacancies-loaction-name&quot;&gt;Whiteknights Reading UK&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-employment-type&quot;&gt;&lt;strong class=&quot;closing-date&quot; data-testid=&quot;strong-vacancies-employment-type&quot;&gt;Employment type:&lt;/strong&gt;&amp;nbsp;&lt;span data-testid=&quot;span-vacancies-employment-type&quot;&gt;AR-Academic (Lecturer)&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-division&quot;&gt;&lt;strong class=&quot;&quot; data-testid=&quot;strong-vacancies-division&quot;&gt;Division:&lt;/strong&gt;&amp;nbsp;&lt;span class=&quot;text-black-70&quot; data-testid=&quot;span-vacancies-division&quot;&gt;Psychology&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-hours&quot;&gt;&lt;strong class=&quot;&quot; data-testid=&quot;strong-vacancies-hours&quot;&gt;Hours Per Week:&lt;/strong&gt;&amp;nbsp;&lt;span class=&quot;text-black-70&quot; data-testid=&quot;span-main-vacancies-hours&quot;&gt;&lt;span data-testid=&quot;span-sub-vacancies-hours&quot;&gt;FTE: 1.00 (35 Hours)&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-live-date&quot;&gt;&lt;strong class=&quot;closing-date&quot; data-testid=&quot;strong-vacancies-live-date&quot;&gt;Job live date:&lt;/strong&gt;&amp;nbsp;25/03/2025&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-duration&quot;&gt;&lt;strong class=&quot;&quot; data-testid=&quot;strong-vacancies-duration&quot;&gt;Employment Basis/Type:&lt;/strong&gt;&amp;nbsp;&lt;span class=&quot;text-black-70&quot; data-testid=&quot;span-vacancies-duration&quot;&gt;Full time, Permanent&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-duration&quot;&gt;&lt;br /&gt;
&lt;h2 class=&quot;text-system text-primary job-discription-h2 mb-20&quot; data-testid=&quot;h2-job-discription&quot;&gt;Job Description&lt;/h2&gt;&lt;br /&gt;
&lt;div id=&quot;Media_Rich_Advert&quot; data-testid=&quot;div-media-rich-advert&quot;&gt;&lt;br /&gt;
&lt;div class=&quot;JT-inner&quot;&gt;&lt;br /&gt;
&lt;div class=&quot;JT-row JT-col-12 JT-section JT-text JT-text-100 JT-site JT-twelve JT-column&quot;&gt;&lt;br /&gt;
&lt;div class=&quot;JT-container&quot;&gt;&lt;br /&gt;
&lt;p&gt;The School of Psychology and Clinical Language Sciences at the University of Reading is seeking to appoint Lecturers in Psychology (Teaching &amp;amp; Research) to join our collegiate and research-active staff team. The appointed individual will deliver high quality teaching and project supervision to students on our undergraduate and postgraduate programmes and will help us build on our success in the most recent Research Excellence Framework (in which we climbed 10 places in the rankings) by conducting excellent research and building a research group to support this.&lt;br&gt;Applications are sought only from those with a teaching and research profile who are able to complement and build on our areas of teaching and research strength of Cognitive Neuroscience, Developmental Psychopathology, Forensic Psychology, or Social Psychology. The positions are available on a full-time (or part-time) permanent basis from 1st August 2025, or as soon as possible thereafter.&lt;br&gt;The successful candidate will have:&lt;/p&gt;&lt;br /&gt;
&lt;ul&gt;&lt;br /&gt;
&lt;li&gt;a PhD in psychology or a related discipline&lt;/li&gt;&lt;br /&gt;
&lt;li&gt;specialist expertise in one of the identified areas listed above&lt;/li&gt;&lt;br /&gt;
&lt;li&gt;a record of high-quality publications commensurate with their career stage&lt;/li&gt;&lt;br /&gt;
&lt;li&gt;demonstrable potential to win external grant funding&lt;/li&gt;&lt;br /&gt;
&lt;li&gt;experience of teaching to a high standard at university level&lt;/li&gt;&lt;br /&gt;
&lt;li&gt;a passion for supporting an excellent student experience&lt;/li&gt;&lt;br /&gt;
&lt;li&gt;a commitment to professionalism in undertaking all your responsibilities and in your interactions with colleagues and students.&lt;/li&gt;&lt;br /&gt;
&lt;/ul&gt;&lt;br /&gt;
&lt;p&gt;Please see the job description and personal specification for further details.&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;The closing date for applications is 23.59 on 23rd April 2025&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Interview date - 27th May 2025&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;For more information, please contact:&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Contact Name: Dr Eugene McSorley&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Contact Job Title: Head of Section (Psychology)&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Contact Email address: e.mcsorley@reading.ac.uk&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Alternative Contact Name: Prof Ludo Serratrice&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Alternative Contact Job Title: Research Division Leader&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;Alternative Contact Email address: l.serratrice@reading.ac.uk&lt;/p&gt;&lt;br /&gt;
&lt;p&gt;By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route.  Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the&lt;em&gt;&amp;nbsp;&lt;/em&gt;&lt;a href=&quot;https://www.gov.uk/government/organisations/uk-visas-and-immigration&quot; data-cke-saved-href=&quot;https://www.gov.uk/government/organisations/uk-visas-and-immigration&quot;&gt;&lt;em&gt;UK Visas and Immigration Website&lt;/em&gt;&lt;/a&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;&lt;br /&gt;
&lt;p class=&quot;x&quot;&gt;The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and champions LGBT+ equality. We are a Disability Confident Employer (Level 2). Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.&lt;/p&gt;&lt;br /&gt;
&lt;/div&gt;&lt;br /&gt;
&lt;/div&gt;&lt;br /&gt;
&lt;/div&gt;&lt;br /&gt;
&lt;/div&gt;&lt;br /&gt;
&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-duration&quot;&gt;&amp;nbsp;&lt;/div&gt;&lt;br /&gt;
&lt;div class=&quot;col-md-12  mt-2&quot; data-testid=&quot;div-vacancies-duration&quot;&gt;&amp;nbsp;&lt;/div&gt;</description>
   <author>Nina Preuss</author>
   <pubDate>Fri, 11 Apr 2025 0:41:32 GMT</pubDate>
   <guid>http://www.nitrc.org/forum/forum.php?thread_id=15708&amp;forum_id=9562</guid>
  </item>
  <item>
   <title>2 postdoc openings in live rodent recording + computational modeling</title>
   <link>http://www.nitrc.org/forum/forum.php?thread_id=15467&amp;forum_id=9562</link>
   <description>&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 12.0pt;&amp;quot;&amp;gt;The Ascoli annd Dannenberg labs are looking for 2 postdocs for a newly NIH-funded collaborative project &amp;amp;ndash; an experimental one for in vivo recordings in live behaving mice, and a computational one for a corresponding large-scale data-driven spiking neural network model. The details and application instructions are at&amp;amp;nbsp;&amp;lt;a href=&amp;quot;https://krasnow1.gmu.edu/cn3/Postdoc2positions_Ascoli_Dannenberg.pdf&amp;quot;&amp;gt;krasnow1.gmu.edu/cn3/Postdoc2positions_Ascoli_Dannenberg.pdf &amp;lt;/a&amp;gt;and also attached. If you are/know the right candidate(s), please apply/send them our ways! If not, we&amp;amp;rsquo;ll appreciate your help in circulating.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span lang=&amp;quot;IT&amp;quot; style=&amp;quot;font-size: 12.0pt; mso-ansi-language: IT;&amp;quot;&amp;gt;----------------&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 12.0pt;&amp;quot;&amp;gt;&amp;lt;a href=&amp;quot;https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__krasnow1.gmu.edu_cn3_ascoli%26d%3DDwMFAg%26c%3DslrrB7dE8n7gBJbeO0g-IQ%26r%3DChBnewcNa5g2dpmGlQ1QPQ%26m%3DAHeY14bfx2igBzHyn-wGvfNvajEWhv0rm7gUcVxxiBQp9hQwf2eVJhcAwMLC0zfP%26s%3DX2_j_rMysK9Rh6LGVOBp0Yl8_gnnDzrqVkUzkeoL7uM%26e%3D&amp;amp;amp;data=05%7C02%7Cascoli%40gmu.edu%7Cb233e4ea40a14c1a672908dcee271466%7C9e857255df574c47a0c00546460380cb%7C0%7C0%7C638647099447091180%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;amp;amp;sdata=2H09bqPOEf0PQrudkumXByLao5FLmvr1e%2FEwoJDPPvI%3D&amp;amp;amp;reserved=0&amp;quot;&amp;gt;&amp;lt;span lang=&amp;quot;IT&amp;quot; style=&amp;quot;color: blue; mso-ansi-language: IT;&amp;quot;&amp;gt;Giorgio Ascoli&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span lang=&amp;quot;IT&amp;quot; style=&amp;quot;font-size: 12.0pt; mso-ansi-language: IT;&amp;quot;&amp;gt;, PhD&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span lang=&amp;quot;IT&amp;quot; style=&amp;quot;font-size: 12.0pt; mso-ansi-language: IT;&amp;quot;&amp;gt;Distinguished University Professor&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 12.0pt;&amp;quot;&amp;gt;&amp;lt;a href=&amp;quot;https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__bioengineering.gmu.edu_%26d%3DDwMFAg%26c%3DslrrB7dE8n7gBJbeO0g-IQ%26r%3DChBnewcNa5g2dpmGlQ1QPQ%26m%3DAHeY14bfx2igBzHyn-wGvfNvajEWhv0rm7gUcVxxiBQp9hQwf2eVJhcAwMLC0zfP%26s%3DNzkotEoh4kDgdRcLnbPNfLGiHx75RNizpWLk1qgI2Kg%26e%3D&amp;amp;amp;data=05%7C02%7Cascoli%40gmu.edu%7Cb233e4ea40a14c1a672908dcee271466%7C9e857255df574c47a0c00546460380cb%7C0%7C0%7C638647099447103336%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;amp;amp;sdata=COEzL3Zog1NT7x3U7MDxJk9YlxrnHYyjAS0aZtd7zME%3D&amp;amp;amp;reserved=0&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color: blue;&amp;quot;&amp;gt;Bioengineering Department&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;, &amp;lt;a href=&amp;quot;https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__cec.gmu.edu_%26d%3DDwMFAg%26c%3DslrrB7dE8n7gBJbeO0g-IQ%26r%3DChBnewcNa5g2dpmGlQ1QPQ%26m%3DAHeY14bfx2igBzHyn-wGvfNvajEWhv0rm7gUcVxxiBQp9hQwf2eVJhcAwMLC0zfP%26s%3DbwV5IkUDfUgA368F0ZSH8fiLQFZR4MPxkS603SJNFd4%26e%3D&amp;amp;amp;data=05%7C02%7Cascoli%40gmu.edu%7Cb233e4ea40a14c1a672908dcee271466%7C9e857255df574c47a0c00546460380cb%7C0%7C0%7C638647099447114541%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;amp;amp;sdata=bqnerzUHC%2Bs%2BiDa1yw7gK%2Fvin6Ybduip%2FZw7Eux4knU%3D&amp;amp;amp;reserved=0&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color: blue;&amp;quot;&amp;gt;College of Engineering &amp;amp;amp; Computing&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 12.0pt;&amp;quot;&amp;gt;&amp;lt;a href=&amp;quot;https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__neuroscience.gmu.edu_%26d%3DDwMFAg%26c%3DslrrB7dE8n7gBJbeO0g-IQ%26r%3DChBnewcNa5g2dpmGlQ1QPQ%26m%3DAHeY14bfx2igBzHyn-wGvfNvajEWhv0rm7gUcVxxiBQp9hQwf2eVJhcAwMLC0zfP%26s%3Da9sPpfkyqz7DNRcIQPX3kPbhbeWB6w8Fwr7JYIvLwqU%26e%3D&amp;amp;amp;data=05%7C02%7Cascoli%40gmu.edu%7Cb233e4ea40a14c1a672908dcee271466%7C9e857255df574c47a0c00546460380cb%7C0%7C0%7C638647099447124935%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;amp;amp;sdata=PcRNxOxeib2E0tBnDn52KM9EN%2FAqAAi6dMPW83qzh84%3D&amp;amp;amp;reserved=0&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color: blue;&amp;quot;&amp;gt;Neuroscience Program&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;, Krasnow Institute for Advanced Study&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 12.0pt;&amp;quot;&amp;gt;Director, &amp;lt;a href=&amp;quot;https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__krasnow1.gmu.edu_cn3%26d%3DDwMFAg%26c%3DslrrB7dE8n7gBJbeO0g-IQ%26r%3DChBnewcNa5g2dpmGlQ1QPQ%26m%3DAHeY14bfx2igBzHyn-wGvfNvajEWhv0rm7gUcVxxiBQp9hQwf2eVJhcAwMLC0zfP%26s%3Dqobw9yLpvZ7J4no2qCdPwOnYLjmnP2GGva8ZY59ldAU%26e%3D&amp;amp;amp;data=05%7C02%7Cascoli%40gmu.edu%7Cb233e4ea40a14c1a672908dcee271466%7C9e857255df574c47a0c00546460380cb%7C0%7C0%7C638647099447135938%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;amp;amp;sdata=OCW%2FQ5NfhcCd9r9Eu12TlPmP8HswKpb%2Fd6Rqzg9o%2Bd8%3D&amp;amp;amp;reserved=0&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color: blue;&amp;quot;&amp;gt;Center for Neural Informatics, Structures, &amp;amp;amp; Plasticity&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 12.0pt;&amp;quot;&amp;gt;MS2A1 - &amp;lt;a href=&amp;quot;https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__www.gmu.edu_%26d%3DDwMFAg%26c%3DslrrB7dE8n7gBJbeO0g-IQ%26r%3DChBnewcNa5g2dpmGlQ1QPQ%26m%3DAHeY14bfx2igBzHyn-wGvfNvajEWhv0rm7gUcVxxiBQp9hQwf2eVJhcAwMLC0zfP%26s%3DTvKKFPCZIkehbJ9ysKSSiWG1ljbRaEZqm2kTWPMHvsk%26e%3D&amp;amp;amp;data=05%7C02%7Cascoli%40gmu.edu%7Cb233e4ea40a14c1a672908dcee271466%7C9e857255df574c47a0c00546460380cb%7C0%7C0%7C638647099447146421%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;amp;amp;sdata=bwH20zNnsspnFCKy4YVnY1scTCVqtmAnI4LDfVFfAQo%3D&amp;amp;amp;reserved=0&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color: blue;&amp;quot;&amp;gt;George Mason University&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;, Fairfax, VA 22030-4444 (USA)&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 12.0pt;&amp;quot;&amp;gt;Author of &amp;amp;ldquo;&amp;lt;a href=&amp;quot;https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__www.amazon.com_Trees-2DBrain-2DRoots-2DGiorgio-2DAscoli_dp_0262028980_%26d%3DDwMFAg%26c%3DslrrB7dE8n7gBJbeO0g-IQ%26r%3DChBnewcNa5g2dpmGlQ1QPQ%26m%3DAHeY14bfx2igBzHyn-wGvfNvajEWhv0rm7gUcVxxiBQp9hQwf2eVJhcAwMLC0zfP%26s%3DWhHykyoagciE7geOX9aUHV6RthtFnTcIdRZpAdZdwYM%26e%3D&amp;amp;amp;data=05%7C02%7Cascoli%40gmu.edu%7Cb233e4ea40a14c1a672908dcee271466%7C9e857255df574c47a0c00546460380cb%7C0%7C0%7C638647099447157877%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;amp;amp;sdata=w%2Bou1mStb48VINhH6r7jRtDNN5DhE68K21FkmDwF%2FTg%3D&amp;amp;amp;reserved=0&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color: blue;&amp;quot;&amp;gt;Trees of the Brain, Roots of the Mind&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;&amp;amp;rdquo; (&amp;lt;a href=&amp;quot;https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__mitpress.mit.edu_9780262028981_trees-2Dof-2Dthe-2Dbrain-2Droots-2Dof-2Dthe-2Dmind_%26d%3DDwMFAg%26c%3DslrrB7dE8n7gBJbeO0g-IQ%26r%3DChBnewcNa5g2dpmGlQ1QPQ%26m%3DAHeY14bfx2igBzHyn-wGvfNvajEWhv0rm7gUcVxxiBQp9hQwf2eVJhcAwMLC0zfP%26s%3DUoxqdNV1Tsxbqb-MPC_RBZDFZBf9qM0ZAo4a5Fw1Iis%26e%3D&amp;amp;amp;data=05%7C02%7Cascoli%40gmu.edu%7Cb233e4ea40a14c1a672908dcee271466%7C9e857255df574c47a0c00546460380cb%7C0%7C0%7C638647099447168565%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;amp;amp;sdata=LOb3uxH1LJ1baW6I5HIDWlgKOPS6UydwB%2FBPTRULauc%3D&amp;amp;amp;reserved=0&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color: blue;&amp;quot;&amp;gt;MIT Press, 2015&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;)&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p class=&amp;quot;MsoNormal&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 12.0pt;&amp;quot;&amp;gt;Founding Editor-in-Chief, &amp;lt;a href=&amp;quot;https://secure-web.cisco.com/1fCem-7Qzn6ZyFoqyhxLQYUsmRzhUCmZDr5xcQm-5VfSVGA-B_kwRMT-f_KZyf99mCfIVskhmH5fBexo4C9tp5-ngJCFABSW6hRL7egyKqM5iT6P0JfT6Px2CkIy79PQfsbFuWUSgjrWaWl_MarXsQNt33HCHatS49fThBruJF8TmJBUekOCHXJFW6sY4l-E2Cttk4ZJu-1N3xXonTlmr4re4x5OyzhJ0tgy9qy2GJ0Bi_s8fYvzyLfTsnVvDbgFv3q3nW4PHMIUvn4ywskr9qQmhglv9UpBPTJ_YE3eoQ-nMISKiC80ARkQnHXZwxubdjGVqHVc0MiXniw9R6gTaGdI0SrXysc3IUSba8c-wbTyWvzpL8guKNWKIM9cfqQdbqRa270gnuvKCXwz958qatw/https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__link.springer.com_journal_12021%26d%3DDwMFAg%26c%3DslrrB7dE8n7gBJbeO0g-IQ%26r%3DChBnewcNa5g2dpmGlQ1QPQ%26m%3DAHeY14bfx2igBzHyn-wGvfNvajEWhv0rm7gUcVxxiBQp9hQwf2eVJhcAwMLC0zfP%26s%3D1Zt69Jy3c9ejO6q1PjjgH5sS_5KDX8MuFHe3wE7Id2U%26e%3D&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color: blue;&amp;quot;&amp;gt;Neuroinformatics&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&lt;br /&gt;
&amp;lt;p&amp;gt;&amp;lt;span style=&amp;quot;font-size: 12.0pt; font-family: 'Aptos',sans-serif; mso-fareast-font-family: Aptos; mso-fareast-theme-font: minor-latin; mso-bidi-font-family: Aptos; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;&amp;quot;&amp;gt;&amp;lt;a href=&amp;quot;https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__aimbe.org_%26d%3DDwMFAg%26c%3DslrrB7dE8n7gBJbeO0g-IQ%26r%3DChBnewcNa5g2dpmGlQ1QPQ%26m%3DAHeY14bfx2igBzHyn-wGvfNvajEWhv0rm7gUcVxxiBQp9hQwf2eVJhcAwMLC0zfP%26s%3DCN4pKJscGSz0fmn6qcQpqrgLhAq4Wl3hvo1_Uu0OYU4%26e%3D&amp;amp;amp;data=05%7C02%7Cascoli%40gmu.edu%7Cb233e4ea40a14c1a672908dcee271466%7C9e857255df574c47a0c00546460380cb%7C0%7C0%7C638647099447181653%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;amp;amp;sdata=mDWnnQMuoWWrP4LUfSrmulaYR4YlKR%2Bc6%2FENVpfsokY%3D&amp;amp;amp;reserved=0&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;color: #0563c1;&amp;quot;&amp;gt;AIMBE&amp;lt;/span&amp;gt;&amp;lt;/a&amp;gt; fellow&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;</description>
   <author>Giorgio Ascoli</author>
   <pubDate>Thu, 14 Nov 2024 14:50:08 GMT</pubDate>
   <guid>http://www.nitrc.org/forum/forum.php?thread_id=15467&amp;forum_id=9562</guid>
  </item>
 </channel>
</rss>
