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Field
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. Programme duration 6 semesters Beginning Winter semester Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We strive for universality, diversity
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mission-driven researcher to join a high-impact joint project with the World Wide Fund For Nature (WWF). We are reimagining how the world’s largest mission driven organizations plan, execute, and measure
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the potential for long-term societal impact. Join us in uncovering the biology of aging and shaping the future of healthy longevity. Training and research within the PhD program is interdisciplinary. Lecture
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University Bremen Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research Teaching language English Languages 100% English Full-time / part-time full-time Programme duration 6 semesters
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magnetometry data. Your Profile: You are studying computer science, physics, chemistry, materials science, nanoscience or a related subject at a university You have an interest and ideally also knowledge in
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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. Are you excited about working at the interface of natural and computer sciences? At
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 6 hours ago
the oral defence takes place in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter and summer semester Application deadline There are no application deadlines
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(Europe/Berlin) Country Germany Type of Contract Temporary Job Status Negotiable Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER