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Field
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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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operations and chemical processes. Ability to conduct experiments. Experience in using both steady-state and dynamic modeling, simulation and optimization tools, e.g. Aspen, Pro/II, GAMS, gProms... Ambitious
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. Demonstrated experience in performing simulations at the atomic-scale, such as density functional theory (e.g. VASP, Ab-init, Quantum espresso), molecular dynamics (e.g. LAMMPS, DL-POLY), development of inter
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public through sci-entific publications and conference presentations Requirements We are looking for highly motivated and skilled researcher with Ph.D. (for postdoctoral re-searcher position) or Master’s
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contributions in: Building novel generative models for predicting genome-scale evolutionary patterns using GenSLMs Developing scalable models that can, when integrated with high throughput molecular dynamics
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driven individuals to join a dynamic team and make significant contributions to this important and evolving field of research. Position Requirements The primary roles of the chosen candidates
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comprehensive simulation open-source codes. Experience in data analysis and simulations of complex and coupled nuclear engineering problems, using techniques such as (but not limited to) molecular dynamics
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of molecular reactions occurring at the surface of various materials. In addition, computational fluid dynamics (CFD) simulations combined with microkinetic modeling will be carried out to study the heat
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A 2-year funded postdoctoral fellowship position in understanding the molecular mechanisms and behavioral consequences of normal and abnormal mouse spinal cord development has become available
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio