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About the Opportunity JOB SUMMARY The Dong Theoretical and Computational Chemistry Lab at Northeastern University seeks an enthusiastic postdoctoral researcher to start as soon as possible
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for the 2026-2027 year. Renewal is contingent on satisfactory performance and continued funding. The aim of the program is to promote a group of promising scholars in the broad area of comparative politics, with
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 1 hour ago
? Please email npp@orau.org Qualifications Background in engineering, computer science, or a similar field. Background in software tools such as Matlab, Python, and C/C++ Experience developing machine
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current
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or recent Ph.D. in applied/computational mathematics, computational science, chemical engineering, or related disciplines. Ideal candidates will have strong past experience in scientific machine learning
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Posting Description POSTDOCTORAL ASSOCIATE, Civil and Environmental Engineering (CEE) – Howland Lab , is a one-year Postdoctoral Scholar position supported in part by the flagship MIT Climate Grand
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Position Overview The Erber lab is seeking a highly motivated and creative postdoctoral researcher to conduct research at the interface of chemistry and biology. The successful candidate will design, execute
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and translational research. Key Responsibilities Conduct independent and collaborative research in neurorehabilitation and brain-computer interface technology Design, implement, and analyze neuroimaging
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& Therapeutics Department: Medicine | School Biomedical Sciences Molecular Medicine and Therapeutics Post Doctoral Scholar to pursue specialized research training, education, and experience under the guidance
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
that can reproduce bias, misinformation, or greenwashing unless carefully benchmarked. Working with an interdisciplinary team spanning computer science, climate policy, law, and social science, the