45 associate-professor-computer-science-"https:"-"https:"-"https:" Postdoctoral positions at Northeastern University
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Position Description Northeastern University Department of Biology A Postdoctoral Researcher role is available in Mathematical Biology at Northeastern University working with Assistant Professor
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project focused on sustainable polymer synthesis from CO₂. The researcher will develop and apply computational and AI-based methods, including high-throughput quantum chemistry and machine learning
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The candidate should have strong problem-solving skills and be highly motivated. The candidate must have a Ph.D. in chemistry, biochemistry, molecular biology, structural biology or a closely-related field
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About the Opportunity Job Description The Postdoctoral Research Associate provides scientific and operational leadership for clinical trials in the Movement Neuroscience Lab investigating
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a fast-moving, ambitious college with an underlying mission driven by the motto “CS for Everyone.” Job Summary The Gyori Lab for Computational Biomedicine is seeking a Postdoctoral Research Associate
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well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard
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About the Opportunity Postdoctoral Associate – Gene Therapy and Transport Modeling Bajpayee Lab at Northeastern is seeking an exceptional Postdoctoral Associate to lead high-impact research in
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-generation communication infrastructures. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start date
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. The postdoc will join an interdisciplinary program that combines quantum sensing instrumentation, surface and interfacial chemistry, and the physics of the target systems, with current directions including
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and computation, involving the analysis of feedback controllers in systems and synthetic biology, the analysis of algorithms, and merging of ML and mechanistic approaches to deal with context effects