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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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 10-Jan-26 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Biological/Biomedical Sciences
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/Administrative Internal Number: 6852091 Postdoctoral Research Associate--Translational/Muscle Biology (Murine Models) About the Opportunity About the Opportunity: We are seeking a highly motivated Postdoctoral
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 16-Dec-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Biological/Biomedical Sciences
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About the Opportunity ABOUT THE OPPORTUNITY The Di Pierro Lab is focused primarily on physical genetics. We are broadly interested in the physical processes involved in the translation of genetic information. We develop novel theoretical approaches to characterize the structure and function of...
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About the Opportunity Job Summary A Postdoctoral Research Associate position is available in the Saavedra lab in the Department of Biology at Northeastern University in Boston, MA. The lab is
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biology, or biochemistry and be able to undertake substantially full-time research. The candidate will be highly motivated, have a strong academic record and research experience in characterizing protein
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in the field of network science, with applications to nutrition, biological networks, network medicine, and the science of science. The position involves developing and applying computational
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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine