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Description Reliable monitoring and control of water systems is essential to protect water resources, ensure hygienic standards, and enable sustainable infrastructure operation. As challenges evolve
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Description Water can move in two interconnected realms: the fast, visible rivers at the surface and the slower, pressure-driven flow within substrates. Today, engineers can model each realm
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Your Job: As part of a collaborative research project funded by the Federal Ministry of Research, Technology and Space (BMFTR), and conducted in cooperation with academic and industrial partners
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nanoindentation, for generating their own data sets Your Profile: A completed university degree (Master or equivalent) with excellent grades in the field of data science, material science, mechanical engineering
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(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Konrad Zuse School of Excellence in reliable AI (relAI) offers fully funded
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for the automatic generation of future energy technology scenarios based on LLMs, patent data, and scientific literature Investigating the system-level conditions under which future technologies like fusion and