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functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model the molten salt
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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experience in theoretical condensed matter physics, especially in ab initio simulations for materials (preferred). Be proficient in scientific programming (preferably Python) and comfortable working with
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. Possess experience in theoretical condensed matter physics, especially in ab initio simulations for materials (preferred). Be proficient in scientific programming (preferably Python) and comfortable working
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grades in the Bachelor’s and Master’s degrees. Be motivated, dedicated, and capable of working collaboratively within a team. Possess experience in theoretical condensed matter physics, especially in ab
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condensed matter physics, especially in ab initio simulations for materials (preferred). Be proficient in scientific programming (preferably Python) and comfortable working with scientific software