16 computational-physics Postdoctoral positions at Northeastern University in United States
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researchers) and will be involved in all aspects of the research process. Opportunities will include analyzing rich datasets for publications, developing and writing research proposals and publications
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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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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: 26-May-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal
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of a research publication (at least one that has completed the peer review process) Position Type Research Additional Information Northeastern University considers factors such as candidate work
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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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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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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling
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provide an exciting opportunity to be involved in one of the NASA Physics of the Cosmos Missions, GRAMS (Gamma-Ray and AntiMatter Search), while globally collaborating with other research groups. GRAMS aims