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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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, computer science, mathematics or other related subject (you do not need a background in Quantum Computation/Optimization) Good programming skills Useful expertise for the project: Graph Theory/Network
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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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fermented foods in the context of open science and its regulations. The FAIROmics training programme aims to develop doctoral candidates’ skills at the interface between artificial intelligence, life sciences
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preparation Deriving insights for film and device fabrication based on the above described workflow Your Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 19 hours ago
physical processes at the magnetopause. 2) study of magnetic reconnection and various plasma instabilities, such as Kelvin-Helmholtz Instability (KHI), drift mirror instability (DMI), fire-hose instability
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24 Apr 2024 Job Information Organisation/Company Charles University Department Faculty of Science Research Field Chemistry » Physical chemistry Physics » Quantum mechanics Physics » Computational