54 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Technical University of Munich
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9 Feb 2026 Job Information Organisation/Company Technical University of Munich Department Computer Engineering Research Field Technology » Communication technology Researcher Profile First Stage
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28.05.2025, Academic staff We are looking for talented and ambitious scientists interested in unique interdisciplinary research, integrating machine learning, molecular simulations, statistical
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Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and
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in machine learning and an interest in agentic AI, deep reinforcement learning, and applications in economics. The full-time positions (100%) are initially offered for two years, with the possibility
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electrification strategy, the research aims to develop a multidisciplinary framework that combines microstructure modeling, machine learning, and probabilistic simulation to link manufacturing parameters, foam
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mycological methods and Omics techniques preferable (particularly proteomics) • Good command of German and/or English required; willingness to learn either English or German is expected We are offering • A
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of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking
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to claus.schwechheimer@tum.de Positions are available immediately and will remain open until filled. Further information: https://www.mls.ls.tum.de/en/plasysbio/home/ Examples of our research Xiao, Y., Zourelidou, M
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Kuster (kuster@tum.de ). The position is available immediately and applications will be considered until the position is filled. Where to apply Website https://jobrxiv.org/job/technical-university
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ENGAGE Network at TUM and GIM Robotics. About the ENGAGE Network Mobile working machines (MWM) are critical to industries like construction, mining, and agriculture, and key to Europe’s sustainability and