213 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " positions at Technical University of Munich
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technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to push the
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-year bachelor’s degree in chemistry, chemical engineering or adjacent areas - High motivation and joy to learn about chemistry and chemical engineering - Strong commitment to solve some of the most
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22.04.2022, Academic staff The Professorship for Environmental Sensing and Modeling at the Faculty of Electrical Engineering and Information Technology is researching topics of metrology
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qualification program for PhD students containing excellent multidisciplinary training with tailor-made subject-based and soft skills courses, annual retreats, summer school, and a supervision concept. More
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We are looking for a Post
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for the position the following: A Ph.D. in the field of Applied Mathematics, Computer Science, Computational Science and Engineering, or similar. Knowledge of numerics as part of a degree program. In particular
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22.12.2025, Academic staff We are an interdisciplinary team at the Chair of Safety, Performance and Reliability for Learning Systems, and we are looking for exceptional postdoctoral researchers to join our team. The postdoctoral positions will be full-time (100%, TV-L E13). We are committed to...
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. The research associate (doctoral student) is expected to work and conduct research in the area of entrepreneurship and family enterprise while participating in the doctoral program. The position (m/f/x) is
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Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc. To learn more about our previous work, please check out our website ( www.cda.cit.tum.de/research/machine_learning