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technical infrastructure. • Development of your personal strengths, e.g. through an extensive range of in-person training courses; a structured program of continuing education and networking opportunities
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(Erasmus+) Back Erasmus+ within Europe Erasmus+ worldwide Information for Back Prospective Students Current Students Staff Back Advice and help Computer and IT Staying healthy Communication and media Human
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The field of active matter is represented by systems made up of individual units that consume energy to generate motion or mechanical forces, causing the system to organize and behave collectively. The energy is continuously injected at the level of the individual particles or agents, keeping...
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The Einstein Telescope is a next-generation research infrastructure currently in development, featuring a large-scale computing center whose energy demands present a unique opportunity: to develop
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The increasing digitalization of modern energy systems, together with the large-scale integration of renewable energy sources and distributed energy resources, is generating unprecedented volumes of heterogeneous operational data. However, limited availability, privacy constraints, and the...
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. We invite applications
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(TV-L E13) for three years at TUM University Hospital. ---- Application is closed due to high number of applicants ---- The Institute for AI and Informatics in Medicine at TUM University Hospital is
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companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in
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servers, additional H100 and H200 GPU servers, and large-scale storage. Compute capacity is continuously expanded to avoid bottlenecks. The position includes conference travel, collaboration with leading
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in the progression of cardiocrine signals to cardiac fibrosis. Utilizing excellent transgenic mouse models, hiPSC-derived cardiomyocytes in combination with computational approaches for big data