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digital technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University
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06.06.2022, Wissenschaftliches Personal Join the team of Prof. Karen Alim at the TUM Campus Garching to investigate how blood vessels self-organize their network to reach homogeneity in blood flow
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focuses on decoding the structure and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent
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, Sweden This PhD position is part of the EU-funded project Print4Life, a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. Print4Life ? Advanced Research
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technologies. The institute is active in national and international cooperation networks and works closely with industry and research to develop innovative solutions. The institute's research building
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, Sweden This PhD position is part of the EU-funded project Print4Life, a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. Print4Life ? Advanced Research
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Your Profile: Master`s degree in physics, mathematics or a similar discipline Knowledge of quantum physics Experience in quantum field theory Numerical simulation skills Ability to show initiative and
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 15 days ago
the global needs for theoretical, methodological, and practical advancements in population and health research, building upon the expertise of academics across the Faculty of Social Sciences. The Max Planck
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technologies. The institute is active in national and international cooperation networks and works closely with industry and research to develop innovative solutions. The institute's research building
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demands. To break this bottleneck and cut simulation time by orders of magnitude, you will design and implement surrogate models that learn the behavior of full‑physics codes using modern machine‑learning