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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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in written and oral English. Experience in DFT-based molecular dynamics simulations and free energy calculation (e.g., metadynamics and free energy perturbation) in condensed phase systems. Programming
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physics scale with the component-level scale to simulate the thermomechanical response of the full first wall/blanket structures during fusion reactor operation. Villanova is a Catholic university sponsored
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, MD simulation, DFT modeling) Numerical methods in mechanics of materials for fatigue If interested, please send your application materials with the subject line “Postdoc in AM” to Dr. Amir Mostafaei
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are seeking a highly motivated candidate to contribute to the development of new catalytic systems through computational simulations and theoretical studies. Main Responsibilities: Perform computational
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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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-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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month 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