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-supervised learning in science Engage in national and international ML/DL communities, most importantly the Helmholtz Foundation Model Initiative Present research results at scientific meetings, conferences
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training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks for self-supervised learning in science Engage in national
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batteries and also includes a research visit to France. Your Profile: Successfully completed scientific master’s degree and PhD in the field of Physics, Chemistry, Materials Science or a comparable field with
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France. Your Profile: Successfully completed scientific master’s degree and PhD in the field of Physics, Chemistry, Materials Science or a comparable field with excellent final grades Excellent knowledge