16 computational-complexity-"Prof"-"Prof" PhD positions at Technical University of Munich
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processes, and the application of AI methods in engineering. Description: Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in
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-language models, or diffusion models to simulate and design complex urban traffic environments? Do you want to shape the next generation of data-driven mobility intelligence with your creative ideas and
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10.01.2022, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d
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05.06.2025, Wissenschaftliches Personal Are you looking for an opportunity to shape the future of quantum computing? With superconducting quantum computers on the verge, we aim to strengthen our
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an interdisciplinary career skills programme across Europe. The Technical University of Munich (TUM) is one of the best universities in Europe. It is characterised by excellence in research and teaching
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-performance technologies to investigate the complex interplay between the human organism and food ingredients. The research group Mechanoreceptors/ Section II at Leibniz-LSB@TUM is currently looking for a PhD
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accessible to users from science and industry Your qualifications: ■ Master’s or equivalent graduate degree in computer science, artificial intelligence, machine learning, mathematics, statistics, data science
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vehicle actions in complex multi-vehicle environments. You will be responsible for the conception, implementation and evaluation of the new algorithms. In addition to your technical work, you will take
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responsibility in research. You enjoy working in a loyal and committed team to solve complex problems and dedicate yourself to a topic over a longer period of time. In summary, you bring with you: -A Master's
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features with an emphasis on vegetation complexity, urban infrastructure, and bird diversity. The thesis is part of a greater project studying urban green space and soundscapes and how these relate to human