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needs of cancer patients and their families. This program is a division of the Duke Pain Prevention and Treatment Research Program in the Department of Psychiatry and Behavioral Sciences, and part of
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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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. 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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data scientists. Prepare code, figures, and documentation for publications and presentations. Minimum Requirements: Ph.D. in mathematics, applied mathematics, physics, computer science, engineering, or a
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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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Tata lab in the Department of Cell Biology, Duke University School of Medicine seeks a full-time Postdoctoral Associate to study cellular plasticity mechanisms in lung injury repair and tumorigenesis. We
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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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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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, ultimately aiming to find better treatments for patients with cancer. The lab utilizes advanced molecular biology approaches, functional genomic screening, single-cell technologies, and the in-house developed
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Asokan lab (www.asokanlab.org) is affiliated with the Duke Department of Surgery, Molecular Genetics & Microbiology & Biomedical Engineering and is focused on the development and evaluation of novel gene