60 parallel-computing-numerical-methods uni jobs at Technical University of Munich in Germany
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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
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of Data Science (MUDS) to train the next generation of “data scientists” – interdisciplinary experts in applying, adapting, and developing methods for AI and data science tailored for a broad array of
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School of Engineering and Design and maintain strong links with the computer science community. One of our key research areas is the design and operation of intelligent networked production systems
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27.05.2025, Wissenschaftliches Personal At the Technical University of Munich (TUM), we offer a Science Coordinator position (m/f/d) to shape, coordinate and manage the newly established Climate Center, to be filled as soon as possible. The successful candidate will be part of the Earth System...
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of computer vision and machine learning methods for automated analysis and processing of multimodal remote sensing data. About us The Technical University of Munich (TUM) is committed to excellence in research
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processing - Study actin-based processes critical for health and disease using the cryo-ET workflow, from cell sample preparation and optimization to imaging and data analysis - Use computational tools for in
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19.11.2024, Wissenschaftliches Personal A PhD position (E13) in the fields of machine learning and game theory is available at the Department of Computer Science at TUM at the Chair of Decision
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integration of e.g. proteomics, lipidomics, or metabolomics data Requirements: Candidates must hold a master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related discipline
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, metabolomic and bioinformatic methods to answer scientific questions from all branches of the life sciences. The Technical University of Munich is one of the top academic institutions in Europe with 48,000
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of Bachelor and Master theses Your Qualifications Excellent Master’s degree in Information Systems, Computer Science, or a similar field Experience in Software Engineering Theoretical knowledge or practical