86 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Duke University
Sort by
Refine Your Search
-
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
-
Duke University Department of Obstetrics and Gynecology has an immediate opening for a Postdoctoral Associate in the Division of Reproductive Sciences. More information about this division is located
-
may be terminated. Note for international candidates: Generally, immigration classifications (e.g., H-lB, J-1, etc.) require that the requisite degree be conferred before a petition can be filed or a
-
Physics, Astronomy, Astrophysics, Computer Science or a related field by the start date ● Strong background in observational or computational cosmology, large-scale structure, weak lensing or image
-
. 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
-
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
-
healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
-
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
-
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
-
/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis