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field closely related to computational modeling in science and engineering. You have a strong background in the theoretical foundations of engineering, science and applied mathematics. It is an advantage
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for candidates with: A strong BSc and MSc degree in computer science, machine learning, mathematics, physics, engineering, or a related field Strong foundations in machine learning and deep learning Experience
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engineering, has access to excellent research resources. For a project funded by the Deutsche Forschungsgemeinschaft DFG (German National Science Foundation), we are looking for an enthusiastic doctoral
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inaccessible biological information and accelerate breakthroughs in medicine, biology, and environmental health. Our interdisciplinary team of scientists and engineers from more than 25 countries develops
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monitoring and control. In this context, generative AI and foundation models offer promising approaches for developing trustworthy and scalable energy applications, including the generation of synthetic yet
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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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-generation multimodal foundation models for digital patient twins in oncology and cardiovascular medicine. The position is part of the EU Horizon Europe project TWIN-X, Digital Twins with Generative AI
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29 Jul 2026 Job Information Organisation/Company Technische Universität München Department School of Social Sciences and Technology Research Field Philosophy » Philosophy of science Anthropology
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 15 hours ago
Position Description The Heidelberg Institute for Theoretical Studies ( HITS) was established in 2010 by the physicist and SAP co-founder Klaus Tschira (1940-2015) and the Klaus Tschira Foundation
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
insights from cutting-edge imaging and sensing technologies. You will work at the interface of data science, imaging technology and biomedical research, developing analysis strategies for complex real-world