20 foundation-engineering-"https:"-"https:" PhD positions at Technical University of Munich
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04.08.2026, Academic staff Fully funded PhD position (TV-L E13) at the Technical University of Munich (TUM) in Generative AI for Automotive Software Engineering. The project focuses on LLMs, VLMs
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and accelerate breakthroughs in medicine, biology, and environmental health. Our interdisciplinary team of scientists and engineers from more than 25 countries develops technologies that bridge
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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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protein engineering to develop agents based on our research into their photophysical properties and structure-function relationship. Finally, we are driving the development of specialized screening
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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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-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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machine learning, medical imaging, and security venues and journals. Your profile Master's degree in computer science, physics, electrical engineering, mathematics, or a related quantitative discipline
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appointment holding a master’s degree with excellent results in disciplines like Aerospace Engineering, Mechanical Engineering or a comparable field of study • Proven ability to identify and solve problems
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the German Research Foundation DFG,TransforM’s goalistobetterunderstandwhy,when,andhowtechnologiesbecomesociallytransformative,and tocriticallyassessandinformtransformationpathways‘allthewaythrough
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5