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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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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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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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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms
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Quantitatively analyze transport, partitioning, and binding kinetics in biological matrices Conduct and contribute to in vivo studies in musculoskeletal models Independently write and publish high-impact
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available in Dr. Okeke's research lab at the Department of Biology at Northeastern University. We use animal models of chronic stress to investigate the role of the immune system in psychiatric diseases. Our
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on priorities identified by both organizations. Projects under this program are jointly selected to enhance the JAX/Roux partnership, align with each institution's strategic priorities, and integrate biological
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About the Opportunity About the Woolston Lab The Woolston Lab at Northeastern University conducts research at the intersection of anaerobic microbiology, enzyme biochemistry, and natural products discovery. This position is funded by a National Institutes of Health (NIH) grant focused on...
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under this program are jointly selected to enhance the JAX/Roux partnership, align with each institution's strategic priorities, and integrate biological and data science. This cycle’s focus is on AI