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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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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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programs offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures
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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
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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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01.09.2025, Wissenschaftliches Personal PhD-Position in der Neurogenetik: Neue genetische Sequenzierungstechnologien zur Erforschung seltener neurologischer Erkrankungen in einem interdisziplinären Team an TUM und MGZ. Wir suchen einen motivierten Doktorand*in (PhD) für ein interdisziplinäres...
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(at places all over the world) and present your work at top-notch conferences and journals in our domain. You should have completed your Master/Diploma studies with top grades in Computer Science, Artificial
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(at places all over the world) and present your work at top-notch conferences and journals in our domain. You should have completed your Master/Diploma studies with top grades in Computer Science, Mathematics
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identified as downstream interactors of barley RAC/ROP GTPases. The Chair of Phytopathology at the Technical University of Munich, TUM School of Life Sciences, hires a Doctoral student in the field
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programme at the TUM School of Social Sciences and Technology. Full-Time Commitment: The position requires full-time commitment with a physical presence at the recruiting institution. Teleworking is not