45 computer-science-intern-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions at Duke University
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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
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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
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activities ● Present results at collaboration meetings and scientific conferences Required Qualifications: ● Ph.D. in Physics, Astronomy, Astrophysics, Computer Science or a related field by the start date
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, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2026/03/10 04:00 AM UnitedKingdomTime, listed until 2026/06/29 04:59 AM UnitedKingdomTime) Position
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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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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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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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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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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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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis