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approach. Fundamental research focuses on induced pluripotent stem cell (iPSC)-derived neuronal models to elucidate the molecular and cellular alterations contributing to neurodegeneration in familial and
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costs and energy requirements of state-of-the-art deep learning models significantly, while democratizing them for a vast community of users, researchers, and practitioners. The task is to perform just
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the frame of the FNR-CORE supported project OPTMONITOR (Optimal Monitoring and Coupled Modeling for Climate-Driven Landslide Risk Detection) at the University of Luxembourg (Faculty of Science, Technology and
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with chemical descriptors to enhance uncertainty robustness Building Uncertainty-Aware General Purpose Models Merge developments into a unified, efficient MLFF architecture Train MLFFs on large, diverse
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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to contribute to other activities and tasks within the ENER-G project. The main outcome(s) of the PhD will be novel optimisation models and solution algorithms that will substantially advance the state-of-the-art
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? In the framework of a bilateral project