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collaboration with colleagues working with DFT tools. Numerical 3D simulations of complex nano-devices using commercial or in-house software. The goal is to obtain realistic profiles of strain and electrostatic
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, or related disciplines. Knowledge and Professional Experience: DFT-based methods. First-principles electronic structure calculations and user-level high performance computing. Programming skills
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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 | 3 days 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