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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
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) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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Organization (RTO) active in the fields of materials, environment and IT. By generating relevant scientific knowledge and converting knowledge into technologies, smart data and tools, LIST empowers citizens in
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in
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initio molecular dynamics simulations Quantum dynamics simulations Computational quantum chemistry for chemical reactions Qualifications For Postdoctoral Researchers: Ph.D. in Chemistry, Materials Science
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, Intelligent Manufacturing and Robotics, Communications Systems and Sensing, Nuclear Engineering, Advanced Materials, Membranes and Water Security, Smart Mobility and Logistics, Refining and Petrochemicals
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multidisciplinary research in broad program themes of Engineering Sciences for Computing and Data Science, Intelligent Systems and Materials, Advanced Electronics and Electrical Engineering, Sustainable and Smart
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Postdoc position in Materials Characterization for Additive/Subtractive Manufacturing and Sustain...
of materials science, tribology, surface integrity, and durability of engineering components. Our research spans experimental and computational approaches to understand how materials perform under mechanical