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A postdoctoral fellow 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 and dissemination of advanced image processing and deep
learning techniques for pediatric neuroimaging data analysis for better
understanding the dynamic development of brain structure, function and
connectivity in health and disease during the prenatal and early postnatal
stages. For more information, please visit: 
https://secure-web.cisco.com/1Aamh0DrerC5p2EGmmyN9N4bsYM4vuU8fkiSRy4Nydubq-HKHOCeva4dKCKEKid-LxjnYl6n4y75ydqj-xDopjGCgbzxoLW7lEKEEZvKv2ftZYaFyvFw4RosHx9PqSN2we3c1NfmkzgGMMHyl0nTGyf4sGOambkxvp84fqG7QS82MANGECHuw26CKIexpLI4U0YTgFUBUudzEeN5TZQsDnkklRL-4YWtfCZWDnQkeae8suMZmGCSUu0q3g78ieLxX1Q1p2sN6Dek6mVEgAuP2_GpoYoMRBaOAgZqdrVlEd1CBRuCNRXKjdpKkX_54xRJcRwmrpkyQPJdTOgBcIigwWQ/https%3A%2F%2Fbbm.web.unc.edu%2F


The successful candidate will support our efforts in advancing pediatric
neuroimaging analysis technologies (e.g., reconstruction, parcellation,
registration, mapping, prediction, modeling, harmonization, fusion, atlas
building, pattern analysis, 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. 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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