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Post-doctoral Position in Network Neuroscience at the University of Michigan

A post-doctoral position is available in network neuroscience at the University 
of Michigan working with Chandra Sripada in Psychiatry, Liza Levina in 
Statistics, and Scott Peltier in Biomedical Engineering. The successful 
candidate will work on funded research projects that: 
1) develop new methods for quantifying individual differences and longitudinal 
change in brain networks (functional and structural imaging modalities); 
2) implement these methods in large datasets covering childhood (ABCD) and late 
adulthood (UKBiobank), with a focus on characterizing changes in neurocognition 
(executive functions, attention, learning and memory). 
 
Required Qualifications: a PhD in cognitive or computational neuroscience 
coupled with very strong quantitative skills; or a PhD in statistics, 
biostatistics, computer science, biomedical engineering, or another 
methodological discipline coupled with ability to work with brain and 
behavioral data. A strong background in the analysis and interpretation of 
neuroimaging data is a plus. Strong programming skills are a must; Matlab, R, 
and/or Python preferred. 
 
This is a 2-year position that has a possibility of being extended to a third. 
Start date is flexible, but September 2019 is preferred. If you are interested 
in this position, please send a CV and research statement to Chandra Sripada 
(srip...@umich.edu).


--
Mike Angstadt
Research Area Specialist Lead / PANLab Lab Manager
Department of Psychiatry / University of Michigan
(734) 936-8229

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