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Field
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an exceptional opportunity to join a collaborative, multidisciplinary research program dedicated to advancing next-generation malaria vaccines while providing outstanding scientific mentorship and career
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
research in perovskite solar cells and detectors development to achieve high performance and long stability with a long-term goal of commercializing the technology. The candidate will collaborate with
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, computational modeling, and data analytics. Experience leading full-scale structural testing. Proficiency in Python or equivalent programming language. Experience with high-performance and high-throughput
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data in a high-performance computing environment. Assist in the mentorship and supervision of more junior lab members. Interpret experimental results and prepare reports, presentations, and scientific
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Command-line computing High-performance computing environments Candidates with strong computational backgrounds who are interested in developing wet-lab expertise are strongly encouraged to apply. Career
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of the position is to advance the theoretical and computational mechanics of soft solids under coupled physical environments. The position is situated within a sponsored research program on the finite-deformation
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. Receive the IT support required by their research (e.g. specialized software or computation time). Additional Information The position is for up to four years, renewable annually based on performance
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operations. The position requires a high level of independent research skill and technical expertise in physical oceanography, numerical modeling, and scientific computing. The postdoctoral researcher will
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research program, offering the opportunity to produce high-impact publications and establish a track record in grant-funded research. It provides an excellent foundation for career growth in both
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: Conduct research and develop next-generation CFD methods (with finite volume and finite element techniques) and models for a variety of nuclear energy systems, using world-leading high-performance computing