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<p class="xmsonormal" style="text-align:center;background:white" align="center"><b style="mso-bidi-font-weight:normal"><span style="font-size:14.0pt;color:black">PostDoc:<span style="mso-spacerun:yes">
</span>Visualization and Data Analysis Applied to Neuroscience</span></b></p>
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<p class="xmsonormal" style="background:white"><span style="color:black">We are seeking a highly-motivated postdoctoral fellow in computational neuroscience to be part of an interdisciplinary research alliance working to develop mobile brain/body imaging experimental
and data analysis methods in support of a research program in neuroergonomics (‘the study of the brain and body at work’). An overall goal of the research is to discover underlying principles describing the relationship of non-invasively recorded EEG brain
dynamics and motivated behavior (recorded by body motion capture, eye tracking, etc) in interactive, information-rich human-system operating environments and to apply these principles to develop tools to monitor, assess, and assist human performance.</span></p>
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<p class="xmsonormal" style="background:white"><b><span style="color:black">Desired skills and experience</span></b><span style="font-family:"Calibri",sans-serif;
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<p class="xmsonormal" style="background:white"><span style="color:black">To apply for this position, you should have a PhD in some area of computation, visualization, statistics, machine learning, signal processing, or applied mathematics. You should also have
experience working with data in some area of science. Knowledge of neuroscience or cognitive science is a plus but not required. Ability to develop tools in MATLAB and/or Python is desirable and some programming skill is required.</span></p>
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<p class="xmsonormal" style="background:white"><b><span style="color:black">Applicants must be US citizens.</span></b><span style="color:black"> The selected candidate would be primarily based near Baltimore, Maryland at the Army Research Laboratory (ARL),
Aberdeen, MD, where he/she will collaborate with a group of Army-funded government and industry researchers in gathering and analyzing data from successively more complex and realistic experiments.</span><span style="font-family:"Calibri",sans-serif;color:black"></span><span style="color:black">
Please submit your full application, including a CV and cover letter to Kay.Robbins@utsa.edu.</span></p>
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<p class="xmsonormal" style="background:white"><b><span style="color:black">About the employer</span></b><span style="font-family:"Calibri",sans-serif;
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<p class="xmsonormal" style="background:white"><span style="color:black">You will be joining an interdisciplinary research team under the supervision of Kay Robbins from the Department of Computer Science and Yufei Huang from the Department of Electrical and
Computer Engineering at the University of Texas at San Antonio. UTSA is an Equal Opportunity/Affirmative Action Employer.</span></p>
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<p class="xmsonormal" style="margin:0in;margin-bottom:.0001pt;background:white"><b style="mso-bidi-font-weight:normal"><span style="color:black">Contact:</span></b></p>
<p class="xmsonormal" style="margin:0in;margin-bottom:.0001pt;background:white"><span style="color:black">Kay Robbins, Professor</span></p>
<p class="xmsonormal" style="margin:0in;margin-bottom:.0001pt;background:white"><span style="color:black">Department of Computer Science</span></p>
<p class="xmsonormal" style="margin:0in;margin-bottom:.0001pt;background:white"><span style="color:black">University of Texas at San Antonio</span></p>
<p class="xmsonormal" style="margin:0in;margin-bottom:.0001pt;background:white"><span style="color:black">One UTSA Circle</span></p>
<p class="xmsonormal" style="margin:0in;margin-bottom:.0001pt;background:white"><span style="color:black">San Antonio, TX 78249</span></p>
<p class="xmsonormal" style="margin:0in;margin-bottom:.0001pt;background:white"><span style="color:black">210-458-5543</span></p>
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