26 cloud-computing-"https:"-"https:"-"https:"-"St" Postdoctoral positions at Duke University
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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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program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee functions under the supervision of a mentor or a department
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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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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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. Occupational Summary The David Lab at Duke University (www.ladlab.org ) is recruiting a postdoctoral fellow to join an established research group developing and applying DNA sequencing and computational
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specification that accompanied a major life history transition. We are looking for someone with experience in evolutionary developmental biology and strong computational skills, ideally with experience in
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. The postdoctoral associate must hold a PhD in mathematics, mathematical/computational biology, or a closely related discipline awarded before August 1st, 2026. Applicants with experience in mathematical modeling
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, United States of America [map ] Subject Areas: Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Computer Science Machine Learning Appl Deadline: none (posted 2025/08
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may include teaching responsibilities. 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
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expected to work collaboratively with other members of our interdisciplinary lab, including computational and other experimental biologists from different disciplinary backgrounds. The successful second