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develops LLMs and agentic AI systems for scientific discovery, engineering and physical systems. We investigate how AI can reason about scientific problems, interact with simulation software and support the
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Quantum Computing for Power Systems Security At the Institute of Climate and Energy Systems Engineering (ICE-1), we
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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 the country. Founded in 1828, today it is a globally oriented
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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). For TUD Dresden University of Technology, diversity is an essential feature and a quality
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of trustworthy, scalable, and interoperable AI solutions for the operation and management of modern electricity networks. We are currently seeking a Ph.D. student to research the following topics: Development
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architectures for foundation models The work will combine methodological development with large-scale experiments, aiming for contributions at leading machine learning and computer vision venues such as NeurIPS
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17 Jul 2026 Job Information Organisation/Company Hannover Medical School Research Field Biological sciences » Biological engineering Medical sciences » Medicine Technology » Biotechnology Researcher
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
science, biostatistics, mathematics, physics, biomedical engineering, or a related field Demonstrated ability to think scientifically, develop hypotheses, and conduct independent research Very good programming skills and
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research the dynamic processes of the Earth system. Our vision: “Taking the pulse of the Earth to safeguard a habitable planet.” For section 4.4 "Hydrology" (department “Geosystems”), we are looking for a
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manufacturing in the context of future production, material, and energy systems Research on the state of the art in additive manufacturing processes with a focus on costs, material usage, and energy requirements