39 postdoctoral-position-in-material-science Postdoctoral positions at Northeastern University
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/Administrative Internal Number: 6376112 Postdoctoral Research Associate (Remote Opportunity) About the Opportunity Northeastern University in Boston, Massachusetts is seeking to hire a postdoctoral research
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. Mona Minkara Funding: NIH MIRA (R35) Grant Position Summary: The Computational Modeling for Biointerface Engineering (COMBINE) Lab at Northeastern University is seeking a Postdoctoral Research Associate
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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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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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of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven
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on performance. Materials will be reviewed immediately and will continue until positions are filled. Position Type Research Additional Information Northeastern University considers factors such as candidate work
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 26-May-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal
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appointment is for 12 months with the opportunity to extend the position for up to 24 months, dependent on funding. Application Materials In a single PDF: cover letter with three references, CV, two examples
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About the Opportunity Northeastern University in Boston, Massachusetts is seeking to hire a postdoctoral research associate with strong research interests and competency in investigating the social
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of computational materials discovery starting in Summer 2025. Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven