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06.05.2024, Wissenschaftliches Personal The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz-LSB@TUM) is a research institution of the Leibniz Association is
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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19.04.2024, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100%, 3-4 years
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Python) M.Sc. in Computer Science, Physics or Mathematics or a similar subject area We encourage you to apply even if your profile does not meet all of the requirements for the role yet. Your profile is
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Leibniz Institute for Food Systems Biology at the Technical University of MunichFood Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 1 month ago
Field Chemistry » Physical chemistry Chemistry » Computational chemistry Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 30 Jun 2024 - 23:55 (Europe/Berlin) Type
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02.04.2024, Wissenschaftliches Personal Being one of the best faculties in Economics in Germany, the TUM School of Management is building a unique bridge between Management and Technology within
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Engineering, Computer Science, Electrical Engineering, or a related field. • Strong interest and commitment to pursuing a Ph.D. in the field of autonomous satellite operations, encompassing both ground-based
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Python) M.Sc. in Computer Science, Physics or Mathematics or a similar subject area We encourage you to apply even if your profile does not meet all of the requirements for the role yet. Your profile is
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12.03.2024, Wissenschaftliches Personal The Chair of Responsible Data Science at the Technical University of Munich (TUM) offers an exciting Ph.D. opportunity focused on the cutting-edge field
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students and thus support of our educational mission. Requirements: Above average Master’s degree in engineering, applied mathematics or computational science Good knowledge of mathematical/numerical