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Sung, and Ritesh Ghosh. Applicants with particular research interests in heavy-ion collisions, QCD at finite temperature and density, quantum field theories with strong fields, and neutron-star physics
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of the group, please visit ORCID: 0000-0002-8591-2652 Research Fields (1) Use density functional theory, many-body perturbation theory, and analytical models to study the novel physical properties of materials
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to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
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functional theory, tight-binding theory, or valence force field methods; Proficiency in PYTHON programming environment. LanguagesENGLISHLevelGood LanguagesPOLISHLevelGood Research FieldChemistry
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functional theory, tight-binding theory, or valence force field methods; Proficiency in PYTHON programming environment. LanguagesENGLISHLevelGood LanguagesPOLISHLevelGood Research FieldChemistry
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systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
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in structure characterization of homogeneous and heterogeneous catalysts using nuclear magnetic resonance (NMR) spectroscopy and density functional theory (DFT) to deduce structure-property
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of materials. The position requires extensive knowledge in performing quantum mechanical calculations (e.g., first principles density functional theory (DFT)) to elucidate complex reaction mechanisms occurring
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-Performance Computing Advanced Know-How in the fields of HPC Scientific Domain Expertise: While the position is open to various backgrounds, proven expertise in molecular simulation and density functional
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform