39 proof-checking-postdoc-computerscience Postdoctoral research jobs at Duke University
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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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scientific meetings DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. A
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application should include a cover letter (be sure to address your fit for the position), Curriculum Vitae, 1-page statement of your career goals and how this postdoc experience will help you achieve your goals
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a PhD or equivalent doctorate (e.g.ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency.1. A candidate may also be appointed to a postdoctoral position
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a PhD or equivalent doctorate (e.g.ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency.1. A candidate may also be appointed to a postdoctoral position
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well as manuscript and abstract preparation. Work Performed DEFINITION: The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The appointment involves full-time
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). Candidates with non-US degrees may be required to provide proof of degree equivalency. A candidate may also be appointed to a postdoctoral position if the candidate has completed all of the requirements for a
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with non-US degrees may be required to provide proof of degree equivalency. 2. A candidate may also be appointed to a postdoctoral position if the candidate has completed all of the requirements for a
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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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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