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24.04.2026, Academic staff At the Chair of Space Mobility and Propulsion at TU Munich, we focus on innovations in propulsion hardware and software to advance sustainable and autonomous mobility solutions. To demonstrate these innovations, we develop and operate our own test infrastructure,...
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22.04.2026, Academic staff The Chair Group of Production and Resource Economics at the TUM School of Management and the TUM School of Life Sciences offers a position as a Ph.D. Student / Junior Researcher in Agricultural and Resource Economics The initial appointment will be 2 years with the...
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07.04.2026, Academic staff PhD position at the interface of computational physics, machine learning, and experimental reactor design. The project focuses on developing PINN-based simulations
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07.04.2026, Academic staff The Ecosystem Dynamics and Forest Management Group at the TUM School of Life Sciences, Technical University of Munich studies how forests change in time and space. We quantify these changes, identify their causes and describe their impacts on biodiversity and ecosystem...
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theoretical and computational methods to describe electronic, optical, and transport properties of complex materials. The first advertised project (a) is dedicated to the methodological enhancement
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and publications, there is the possibility of international research stays and conference travel. Benefit from a comprehensive training program covering both subject-specific and interdisciplinary
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. Experience in programming (in particular, Python) and an interest in machine learning, data analysis, or scientific computing are expected. Prior experience with machine learning or optimization methods is
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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming
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present them at international conferences Collaborate closely with researchers at TUM and partner institutions in Brazil Requirements A Master’s degree in physics, computer science, Earth system sciences
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Optimization (DPO) and reinforcement learning from human feedback, building preference datasets together with clinicians - Build and run a Red Team process with physicians, computer scientists, and patient