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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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The University of Luxembourg invites applications for a fully funded Ph.D. position in machine-learning force fields (MLFFs), uncertainty quantification, and atomistic simulations within the FNR
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areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
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Deep Hydrothermal Reservoirs (m/f/d, E13 TV-L, 75%) within the research project “Long-term Behavior of Coupled Reactive Transport Processes in Deep Hydrothermal Reservoirs (LangRes)”. The project is
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on chemically modified porous silicon surface. Right: selective adsorption of metabolites on a chemically modified silicon surface by molecular dynamics simulation.5 Research subject/work plan: The principal