45 computational-science-"https:" "https:" "https:" "https:" "https:" "Inria" Postdoctoral positions at Northeastern University
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' postdoctoral fellows as part of the JAX/Roux Institute joint Applied Data Science Postdoctoral Fellowship program. Under this program, postdoctoral trainees will be co-mentored by NU and JAX researchers working
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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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About the Opportunity Job Summary The Postdoctoral Associate will conduct integrated experimental and computational research on informatics-driven mechanical characterization of solid and porous
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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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Applied Data Science Postdoctoral Fellowship program. Under this program, postdoctoral trainees will be co-mentored by NU and JAX researchers working on priorities identified by both organizations. Projects
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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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performance. Minimum Qualifications Required PhD or equivalent in computer science, computational biology, biomedical engineering, or a related field by the appointment start date Expertise and a demonstrated
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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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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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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