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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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prerequisites): Molecular dynamics (MD) and Density Functional Theory (DFT); Protein engineering; Aptamer design/optimisation; Molecular biology; Graphene. DC13: Structural engineering of bioreceptors
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): Molecular dynamics (MD) and Density Functional Theory (DFT); Protein engineering; Aptamer design/optimisation; Molecular biology; Graphene. DC13: Structural engineering of bioreceptors for graphene. Engineer
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molecular systems. Method development, potentially in the realm of time-dependent current DFT, will likely also be required as we learn about physical phenomena underlying the CISS effect. Bhat group
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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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collaboration of 14 European research institutions and is funded (https://cordis.europa.eu/project/id/101136269) by the European High Performance Computing Joint Undertaking as part of the Horizon Europe program
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 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