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A postdoctoral research associate position is available in the Department
of Radiology and Biomedical Research Imaging Center at the University of
North Carolina at Chapel Hill (UNC-Chapel Hill). Our current research
focuses on the development of advanced image processing and deep learning
techniques for pediatric neuroimaging data for better understanding the
dynamic development of brain structure, function and connectivity in health
and disease during the prenatal and early postnatal stages. The successful
candidate will support our efforts in advancing pediatric neuroimaging
analysis technologies (e.g., reconstruction, parcellation, registration,
prediction, modeling, harmonization, etc.). We are seeking highly motivated
individuals who have extensive research experience in medical image
analysis and deep learning and demonstrated academic excellence, including
publications in first-class journals or conferences. The candidate should
have a Ph.D. (or equivalent) in Computer Science, Applied
Mathematics/Statistics, Electrical Engineering, Biomedical Engineering,
Neuroscience, or related fields. Good command of programming tools
including Python, C++, Linux, and scripting are necessary to carry out the
research work in this group.



The successful candidate will be part of a diverse group including
neuroscientists, radiologists, psychologists, physicists, biostatistician,
and computer scientists, and will build upon the group's extensive
foundation on neuroimaging analysis 
(https://secure-web.cisco.com/13Nk5BnjS6JPAxxwIm0Lhc3q1raGx4_OpDQ-XY13280OPgMnwoH51srelAis4gVyS2CtWAe8gi5FWtr9Dx4-50fmdH7yjK5Sj5wFbKkGhZN_rmEn-tSxhIhSn7Jxz1yTplImlCXOlarugqCmganyNVjTFXJJ4hTftN8GsnDla6sTIZ3vWdeW9SfR3mEhRewi4mr0dMzhPgDgM3NoSh167wV91XCu3TspkJTI8mUR4bu-OdHlNSjXcUu5NS95Qx-cNOwPXEh-xwgKU5wOjifqbNQ/https%3A%2F%2Fbbm.web.unc.edu%2F).
 The
University of North Carolina at Chapel Hill is an equal opportunity and
affirmative action employer. We strongly encourage applications from
diverse backgrounds. Interested candidates should email a cover letter and
a resume to Dr. Gang Li (gang...@med.unc.edu).
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