122 systems-science-"https:" "https:" "https:" "https:" positions at Technical University of Munich
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16.08.2021, Academic staff For the BMBF funded International Future Lab “AI4EO” (https://ai4eo.de/) we are looking for a motivated Science Manager (m/f/d) ABOUT US The International Future Lab
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arises from the interactions of cell nuclei within the gigantic cell. We are looking for a Post-doc (m/f/d) to start at the TUM this summer or fall. Your Task Physarum polycephalum is renowned for solving
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24.06.2021, Academic staff The Professorship of Data Science in Earth Observation (Prof. Xiaoxiang Zhu) is seeking a research associate in the market of AI for Earth observation in Smart Cities
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22.03.2021, Academic staff The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine learning, and
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demonstration as proof-of-concept implementation in an experimental 6G testbed. Your qualifications MSc in Computer Science or Electrical Engineering Strong background in networking and systems with solid
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06.12.2021, Academic staff The professorship of Data Science in Earth Observation is seeking a science manager for its new center for Machine Learning in Earth Observation (ML4Earth). AI methods
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to the research and development of dexterous end effectors for a new 6G-based teleoperated surgical robotics system. This position stems out of the large scale 6G-Life project (https://6g-life.de/) and will give
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06.12.2021, Academic staff The professorship of Data Science in Earth Observation is seeking project scientists in benchmarking, HPDA/HPC, and education for its new center for Machine Learning in
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14.04.2022, Academic staff We are an active and lively research group which is passionate about science. We are working in an environment that may best be characterized by the passion to accomplish
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Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models, adversarial attacks, and