37 postdoc-in-postdoc-in-automation-and-control Postdoctoral positions at Duke University
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: Engineering / Biomedical Appl Deadline: none (posted 2025/06/30) Position Description: Apply Position Description The You lab at Duke (youlab.bio) is seeking a postdoc candidates with strong training in
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the individual. The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research or scholarship, and may include
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starting the postdoc and must have prior publications. To apply, please submit a cover letter, CV, statement of research interest, names and contact information for three references and a publication list
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conferred before a petition can be filed or a visa document issued to sponsor the individual. The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment
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simulations to identify key mechanistic drivers of viral persistence and immune response, and use SciML to automatically select ODE/PDE models that include these mechanisms. The postdoc will develop
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. The Department of Cell Biology is looking for a postdoc candidate to conduct research on tissue morphogenesis using zebrafish as a model system. The candidate will ideally have a training in
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is limited (see Section 5 of the Postdoc Policy for the length of the appointment). The appointment involves substantially full-time research or scholarship and may include teaching responsibilities
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Duke University, NSOE-ESS & MSC Position ID: Duke-NSOE-ESS & MSC-POSTDOC [#30156] Position Title: Position Location: Beaufort, North Carolina 28576, United States of America [map ] Subject Areas
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sponsor the individual. The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research or scholarship, and
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policies pertaining to other schools at Duke University. The postdoc candidate is expected to: 1) Develop novel methods for incorporating scientific machine learning in solving problems in solid mechanics