210 computer-"https:" "https:" "https:" "https:" "UCL" positions at Technical University of Munich
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related field (e.g. battery technology, automotive engineering, electrical engineering) and have previously completed your master's degree in a technical field, such as mechanical engineering, computer
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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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computers and the ones using them. We are working on a visionary and large-scale ERC Consolidator Grant Project and are a part of the Munich Quantum Valley-Initiative (https://www.munich-quantum-valley.de
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24.02.2022, Academic staff The Munich Quantum Valley aims at developing a full quantum computing stack, from the application level to the physical quantum hardware. Within this interdisciplinary
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02.02.2022, Academic staff The Faculty of Informatics at the Technical University of Munich intends will fill a position at the earliest as Scientific Researcher (m/f/d) – 100%, TV-L E13
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for admission to a Ph.D. program at TUM. More infor-mation on a doctorate at TUM can be found on the websites of the TUM Graduate School and of the Graduate Center of Engineering and Design. What we offer Full
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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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21.12.2021, Academic staff The Department of Computer Science, Technical University of Munich, has a vacancy for a PhD candidate/researcher position in the area of efficient algorithms. The position
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08.09.2021, Academic staff The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%, 3
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are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random network coding