69 phd-computer-science-fully-funded Postdoctoral positions at Northeastern University
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institute and would be encouraged to find ways to thrive and grow their own research program. This position is Boston-based and is available through grant funding that runs until August 31, 2026
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graduate students, and collaborate with clinicians and other collaborators of the lab. MINIMUM QUALIFICATIONS The candidate should have a PhD degree in biomedical/electrical engineering, computer science
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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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 11-Aug-25 Location: Burlington, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal
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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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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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of the nematode C. elegans. Our lab integrates genetics, live imaging, quantitative analysis, and computational approaches to uncover the molecular mechanisms regulating aging and longevity. Key Responsibilities
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About the Opportunity Job Summary The Distel Laboratory at Northeastern University's Marine Science Center seeks a postdoctoral researcher to take a leading role in a research program that
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the beginning of 2026. The College of Science aims to align postdoctoral salaries with the NIH recommended Post-Graduate Year (PGY) levels whenever funding allows. The salary for this position is $62,232, and may
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such as mathematics, statistics, physics, computer science, engineering, epidemiology, or related disciplines; Strong background and experience in mathematical and computational modeling of infectious