70 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Duke University
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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: 2026/05/31 11:59PM * (posted 2025/10/15, listed until
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. Postdoctoral applicants are expected to have completed their PhD within the last two years, and the position would last 1 year. All fields of economics will be considered. The selected candidate is expected
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Postdoctoral Researcher to work on projects related to digital holography and optical coherence tomography. Candidates should have a PhD in electrical or biomedical engineering or related disciplines with
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mentoring, if needed. Minimum Qualifications The candidate should have a Ph.D. in Engineering, Applied Mathematics, Computer Science, or a related area. Experience 0+ years of postgraduate experience. Skills
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partners and local teams at Duke's Microbiome Center, Department of Molecular Genetics & Microbiology, and Department of Biomedical Engineering Partnership with nearby research groups at UNC Chapel Hill and
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PhD in a field relevant to cellular and developmental biology, and they will bring technical skills to study areas such as stem cell biology, protein biochemistry, light microscopy, or cell signaling
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Duke University, Electrical and Computer Engineering Position ID: Duke -Electrical and Computer Engineering -POSTDOCYIRANCHEN [#30336] Position Title: Position Type: Postdoctoral Position Location
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discovery and computational tools. The successful applicant will lead a research project and will have the opportunity to mentor students. Candidates must hold a PhD or anticipate completion of a PhD prior to
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, United States of America [map ] Subject Areas: Chemistry / Bioinformatics , Chemical biology , Computational Appl Deadline: 2025/09/15 11:59PM ** Position Description: Apply Position Description Job Opening: Postdoctoral
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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal