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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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degree in Computer Science, Artificial Intelligence, Software Engineering, Robotics, or a related field Strong experience in software development and excellent programming skills, preferably in Python
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servers, additional H100 and H200 GPU servers, and large-scale storage. Compute capacity is continuously expanded to avoid bottlenecks. The position includes conference travel, collaboration with leading
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, especially with regard to future threats due to quantum computers. Information theory provides a promising approach to these challenges as it enables security which is independent of the adversary’s computing
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03.08.2026, Academic staff The successful candidate will join a highly interdisciplinary research environment and contribute to the establishment of a new research program at the interface of food
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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problem. Do a theoretical analysis of the assigned problem using tools from information theory and related fields. Design a solution which is implementable on a computer and in hardware. Collaborate with
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(TV-L E13) for three years at TUM University Hospital. ---- Application is closed due to high number of applicants ---- The Institute for AI and Informatics in Medicine at TUM University Hospital is
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at international conferences Your profile Completed Master's degree (or equivalent) in Computer Science, Data Science, Computational Linguistics, Mathematics, or a related field Strong programming skills in Python
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of the TUM. Contact Prof. Holger Boche Technical University of Munich School of Computation, Information and Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https