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yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process
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CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in
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assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation
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-dependent current DFT, will likely also be required as we learn about physical phenomena underlying the CISS effect. Bhat group The position will involve developing new mathematical/computational methods
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superconductors. The successful candidate must have substantial experience in state-of-the-art ARPES and/or low temperature STM/STS techniques. Some experience with first-principle methods (FP/DFT) and/or other
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
materials research group led by Dr. Mengen Wang is seeking a postdoc researcher to work on computational materials and machine learning-driven materials discovery. The postdoc researcher will perform DFT and
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(EDA) tools. Experience working with ab-initio methods for materials simulation e.g. Density Functional Theory (DFT). Experience working with large collaborative code projects. Proficiency in applying AI