70 software-verification-computer-science-"TCAT-Jacksboro" Postdoctoral positions at Duke University
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teach one course per semester in the Department of Mathematics. Qualifications. The postdoctoral associate must hold a PhD in mathematics, mathematical/computational biology, or a closely related
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, United States of America [map ] Subject Areas: Environmental Studies / Natural Resources Science and Management Climate Change Starting Date: 2026/08/01 Appl Deadline: 2026/04/30 11:59PM * (posted 2025/10/15, listed until
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Duke University, Economics Position ID: Duke-Econ-PD2025 [#30253] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America [map
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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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biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in
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biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in
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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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career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee
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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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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control