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Postdoctoral Research Scientist</div>
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San Francisco Veterans Affairs Healthcare System</div>
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UCSF—University of California, San Francisco</div>
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Description</div>
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The Brain Imaging and EEG Lab (BIEEGL) stands at the forefront of clinical neuroscience, focused on understanding the neural mechanisms responsible for the devastating symptoms of schizophrenia and psychosis. Our major research tools are electroencephalography
(EEG) and functional magnetic resonance imaging (fMRI). These complementary tools allow assessment of brain function with millisecond resolution in the time domain, and millimeter resolution in the spatial/anatomical domain.</div>
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BIEEGL is looking for talented post-doctoral scientists interested in pursuing innovative brain science to answer some of most perplexing questions about psychosis. Postdoctoral fellows will have unique opportunities to work in close collaboration with our
team of neuroscientists, psychologists and psychiatrists. If you are looking for a postdoctoral position that immerses you in 21st century</div>
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neuroscience, we want to hear from you!</div>
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This is an excellent position for someone looking to integrate their skillset into a large research group of clinical neuroscientists, with the expectation of undertaking data analysis and assisting in preparation of manuscripts/grant applications for a multiple-PI
laboratory (co-authorships are expected to result from the postdoctoral fellow's collaboration with PIs). In addition to collaborative research projects with other lab members, the fellow is also expected to work on an independent research project. This project
would focus on applying machine-learning techniques to one of many large, previously-collected studies in the lab such as EEG, MRI, and/or simultaneously recorded EEG+fMRI data to address problems including but not limited to (i) prediction of conversion to
psychosis in individuals at Clinical High Risk for psychosis, (ii) associating clinical symptom severity with brain imaging measures, or (iii) various classification (e.g., task condition or diagnostic group) problems.</div>
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*The ideal candidate will have:*</div>
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•Matlab programming and data analysis expertise</div>
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•Experience with human brain imaging (EEG and fMRI) including analysis</div>
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on both individual subject and group levels</div>
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•Experience applying QA programs to ensure high quality data</div>
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•Experience with R and/or Python and machine learning techniques</div>
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•Strong quantitative and analytical skills</div>
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•Creative problem solving skills</div>
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•Excellent verbal and written communication skills</div>
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•Interest in manuscript/grant preparation</div>
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•A desire to work with an amicable, energetic, interdisciplinary team</div>
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•PhD in Neuroscience, Statistics, BIOMEDICAL ENGINEERING, or in a related computational-intensive field</div>
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The position is sponsored by the Department of Veterans Affairs and is potentially renewable for up to three years. To be eligible for this fellowship funded through the department of Veterans Affairs, applicants must be legally authorized to work in the United
States. The successful candidate is expected to develop and submit a VA Career Development Award to pursue an independent research project relevant to Veterans health by the end of the postdoctoral fellowship. </div>
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To apply, please submit your CV to <a href="mailto:postdoc@bieegl.net" class="">postdoc@bieegl.net</a></div>
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<div class="">Daniel H. Mathalon, Ph.D., M.D.<br class="">
Professor <br class="">
Department of Psychiatry, </div>
<div class="">Weill Institute for Neurosciences, </div>
<div class="">University of California San Francisco, and<br class="">
SFVA Medical Center<br class="">
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Mail Address:<br class="">
Psychiatry Service 116d<br class="">
San Francisco VA Medical Center<br class="">
4150 Clement St.<br class="">
San Francisco, CA 94121<br class="">
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Office phone: (415) 221-4810, ext. 23860<br class="">
Fax: (415) 750 6622<br class="">
<a href="mailto:daniel.mathalon@ucsf.edu" class="">e-mail: daniel.mathalon@ucsf.edu</a></div>
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