1,921 computer-security "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" positions in Germany
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, chemical processes, explosives technology, safety and security, and energy and drive systems, it achieves decisive breakthroughs. Examples can be found in lightweight construction for mobility, in
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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
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(master's or diploma) in computer science, IT security, information science, or a related field In-depth knowledge of cybersecurity, network security, and IT infrastructures Experience with zero-trust
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 7 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience
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) to determine greenhouse gas and pollutant emissions in cities using atmospheric measurements (MUCCnet: https://atmosphere.ei.tum.de/ ) and in-situ sensor networks in ICOS Cities project (https://www.icos-cp.eu
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, chemical processes, explosives technology, safety and security, and energy and drive systems, it achieves decisive breakthroughs. Examples can be found in lightweight construction for mobility, in
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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
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Fraunhofer SIT is one of the leading research and development institutes for secure information technology in Germany and Europe. The focus is on applied research and the development of innovative
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16.08.2023, Academic staff The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich invites applications for the position of a Research Assistant (m/f/d) in
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comparative and historical perspective combining data-driven computational approaches with informed institutional analyses of capitalism, insurance finance, housing and welfare states while drawing on theories