73 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at Technical University of Munich
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, dynamics, and interactions in complex environments and live mammalian cells. By combining ultra-high-field NMR with complementary biochemical, computational, and cellular approaches, the project will
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. • Computational efficiency: Designing adaptive and physics-aware strategies (e.g., optimized residual selection, physics-based zooming) for real-time inference. • Practical usability: Developing robust, user
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into real-world applications in Geriatronics. Your Profile PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics, or a closely related field. Proven experience in
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assist the recently funded NHPig (https://www.nhpig.eu/) project, an EU-funded research project aimed at transforming non-clinical safety assessment by use of mini- and micropig models. Depending
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development program (self & time management, communication skills, team development, burnout prevention, structured research work) Support for post-academic career: test field and office space for startups, job
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03.02.2025, Academic staff The Cryoskeleton Lab (https://www.pioneercampus.org/index.php?id=56765) at Helmholtz Munich is looking for Master students who are interested in using in situ cryo
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personenbezogenen Daten im Rahmen Ihrer Bewerbung abrufbar unter http://go.tum.de/554159. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutz-hinweise der TUM zur Kenntnis genommen haben
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. The project is jointly supervised by Prof. Dr. Ralf Jänicke (Institute of Applied Mechanics, Technische Universität Braunschweig) and PD Dr. Stefan Kollmannsberger (Chair of Computational Modeling and
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, ranging from life sciences to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who
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strategies directly from interaction with the environment. However, standard reinforcement learning methods lack formal safety guarantees, making them unsuitable for safety-critical space applications where