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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and
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preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods, multiscale simulations (broadly defined), molecular dynamics
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methods and workflows for chemical problems and experience using simulation software Demonstrated experience with various computational chemistry techniques: DFT-, force-field- and/or molecular-dynamics
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Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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optimization code used, particularly for automated transition state searches. • Perform molecular dynamics simulations to estimate thermodynamic/macroscopic properties. IPREM brings together over 300 staff
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chemistry, molecular dynamics simulations, quantum chemistry, nanomaterials, energy materials, or biomaterials. Candidates with expertise in related fields but not directly linked to AI/Computational
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molecular dynamic calculations) will be needed to develop these types of models. Some of the complex material systems of interest are metallic glasses, nanocrystalline metals, hydrogen storage materials
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with surface science. Experience with molecular dynamics simulations and at least basic knowledge of machine-learning approaches for atomistic modeling are highly desirable. Skills in Python and
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stimulating working conditions in dynamic and international research environment. More information at Department of Molecular Sciences | slu.se Read more about our benefits and what it is like to work at SLU