71 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Technical University of Munich
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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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. 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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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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, 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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Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research environment? Then let’s
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dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of Computational