188 parallel-computing-numerical-methods-"Prof" positions at Technical University of Munich in Germany
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will work on key research projects applying computer science methods within the context described above. The Professorship of Energy Management Technologies closely collaborates with other professorships
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Spatial Development run by Prof. Dr. Lindsay Blair Howe and the newly established Centre for Urbanisation and Peripheralization (CUSP). About us and the position The Technical University of Munich (TUM) is
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computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
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is available from 01.11.2025. About us The Chair of Agrimechatronics (Prof. Oksanen) studies especially Intelligent Machines for Agriculture. The research themes include topics like tractors and other
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policy, economic sociology, and international relations. Methodologically, it draws on and combines both quantitative and qualitative methods, with a particular focus on computational and multi-method
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modelling • A high fascination for technical/scientific problems of theoretical and numerical research • Experience in the field of numerical time-accurate flow simulation, preferably turbomachinery • Ability
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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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document by Email to esm-jobs.asg@ed.tum.de until June 30, 2025. The size of the file should not exceed 15 MB. For further information or to discuss the position please contact Prof. Dr. Niklas Boers
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institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex
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Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written