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Field
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modeling, molecular interactions/energetics, and tools such as AlphaFold, Rosetta, or MD simulations. Solid programming skills (Python); familiarity with machine learning is a plus. For both profiles, we
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characterization with multiscale simulation to understand failure mechanisms and improve safety at the cell, module, and pack levels. The successful candidate will contribute to research on lithium-ion and next
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
to timely and important scientific questions related to HIV. Key activities will include theoretical work developing new estimators, empirical evaluation of the estimators through simulation studies, and
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/classical treatment. Experience in quantum chemistry and reaction dynamics. Interest in applying methods to simulate materials to be used in quantum computation technologies. Strong programming skills
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modulation, coding, synchronization, spectral shaping, equalization, and related receiver/transceiver components in simulation and on SDR platforms. AI for communications implementation: implement and
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with your application in Workday: CV/Resume including publications and presentations Research Statement Unofficial Ph.D. Transcripts If already awarded, a copy of your Ph.D. diploma Please arrange
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following areas is desired: optics, electronics, quantum optics, interferometer control and simulation. The candidate should have a Ph.D. in physics, engineering, or a related field. The position involves
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composite materials for next‑generation aeroengines. The role focuses on developing bespoke high‑rate experimental techniques and cutting‑edge simulation tools within Oxford’s Impact and Shock Mechanics
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Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the ...
these methods into so-called Materials Acceleration Platforms (MAPs), which combine numerical simulations, ion irradiation, and fast experimental screening to search systematically for structural materials suited
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, Merced is seeking a postdoctoral scholar to work on an NIH-funded project (Project Number: R35GM163973) focused on biomolecular simulations and machine learning applications in biological systems