43 Computer-Science "Durham University" 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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' 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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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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About the Opportunity Job Summary The Copos Group works on computational and mathematical theoretical models with direct applications to several open problems in cell biology. We are specifically
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to early-stage efforts focused on muscle biology and inflammatory disease. The successful candidate will apply their expertise in murine models and immunology to explore disease mechanisms, validate novel
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About the Opportunity Job Summary We are looking for a Postdoctoral Scholar to join an NSF-funded collaboration between Dr. John Coley (Psychology, Marine and Environmental Sciences) and Dr. Brian
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About the Opportunity SUMMARY Northeastern University invites applications from outstanding candidates to fill one or more Postdoctoral Research Associate (PRA) positions in computational quantum
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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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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