35 computational-physics-simulation-"Prof"-"Prof" Postdoctoral positions at Northeastern University
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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
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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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collaboration, and other quantum materials, and their modeling and simulation. Projects will include computational discovery of new quantum materials and optical materials and their heterogeneous structures
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candidate is expected to contribute to the upgrade of the CMS endcap muon system, as well as to take a leading role in physics data analysis with BSM models coupling to third-generation quarks. Prof. Bonilla
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About the Opportunity Postdoctoral Research Associate – Computational Glycobiology and Innate Immunity COMBINE Lab, Department of Bioengineering, Northeastern University Principal Investigator: Dr
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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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: The Zhao Lab in the Department of Chemical Engineering at Northeastern University is an interdisciplinary group working at the interface with computational chemistry, heterogeneous catalysis
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simulations, sampling techniques, machine learning, or quantum computing are big pluses. The candidate should have good communication skills, both oral and written, and are willing to work in a
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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