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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
for model refinement. Perform multi-scale simulations (e.g. DFT / atomistic / phase-field simulations) to train AI/ML models. Conduct scientific research on ferroelectrics and/or 2D memristive materials
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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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-Vis. • Strong communication skills Preferred Qualifications • Experience with DFT and ab initio simulations. • Experience with high-pressure and synchrotron techniques. Required License/Registration
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advanced characterization methods of inorganic materials and their assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics
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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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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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areas of nanoscience and nanotechnology. Job Title: Postdoctoral Researcher (HANAMI) Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and Simulation Group has
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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 | 1 day 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