37 computer-science-intern-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions at Duke University in United States
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approaches, computational biology, and molecular genetics to achieve base-pair resolution mapping of chromatin landscapes. As a postdoctoral researcher, you will design and conduct independent and
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. Minimum Requirements: PhD or equivalent doctorate (e.g., ScD, MD, DVM) in psychology, psychiatry, neuroscience, biostatistics, bioinformatics, computer science, or a related field. Research background in
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This multidisciplinary program is focused on developing
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Duke University, Biology Position ID: Duke-Biology-PD_AS1 [#31009] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America [map
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Duke University, Biology Position ID: Duke-Biology-PD_JL [#30614] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America [map
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investigators in nutrition science, and related fields. Present research at internal seminars and national conferences. Contribute to mentoring work-study students. Support and contribute to the preparation
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the individual's research skills for his/her primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This
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research or scholarship. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research training under
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis