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<p class=MsoNormal><b>Department of Neuroscience<o:p></o:p></b></p>
<p class=MsoNormal><b>Baylor College of Medicine, Houston TX</b><br>
<br>
<b>Postdoctoral Associate in Computational Neuroscience <o:p></o:p></b></p>
<p class=MsoNormal><br>
Applications are invited for a postdoctoral position (minimum 2 years) in the
laboratory of Dr. Wei Ji Ma (<a href="http://neuro.bcm.edu/malab">http://neuro.bcm.edu/malab</a>)
in the Department of Neuroscience at Baylor College of Medicine, Houston,
Texas. <o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>The long-range goal of our research is to understand the
representation and processing of uncertainty in the human brain, both at the
behavioral and at the neural level. The lab uses a combination of theoretical
analysis, computational modeling, and theory-driven human experiments. Current
areas of study include multisensory perception, decision-making, and visual
search. The position provides an opportunity to take part in highly
collaborative research programs within the Computational Psychiatry Unit (<a
href="http://cpu.bcm.edu/">http://cpu.bcm.edu</a>) and the Department of
Neuroscience as a whole.<br>
<br>
<o:p></o:p></p>
<p class=MsoNormal>Applicants should have a Ph.D. in computational
neuroscience, physics, mathematics, computer science, or a related field, and
have a commitment to a research career in neuroscience. Programming experience
with Matlab or C++ is very desirable.<o:p></o:p></p>
<p class=MsoNormal><br>
To apply, please send CV, statement of interest, and the names and contact
information of two references to Wei Ji Ma at <a href="mailto:wjma@bcm.edu">wjma@bcm.edu</a>.
Consideration of applications will begin immediately, and will end when the
position is filled. Salary is competitive and will be commensurate with
experience and qualifications. Baylor College of Medicine is an
Equal-Opportunity, Affirmative-Action, and Equal-Access Employer.<o:p></o:p></p>
<p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif"'><o:p> </o:p></span></p>
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