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applications in both conventional and renewable offshore energy. Objectives To reduce computational time during the training process, a linear solution based on potential flow theory is used as the training
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embedded into cyber‑physical systems (CPS) such as autonomous vehicles, smart grids, industrial control systems, robotics, healthcare devices, and intelligent transport infrastructure. While significant
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Candidate 51 Faculty of Physics Startdate: 15.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 14.10.2029 Reference no.: 6207 Are you fascinated
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study
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project description Applications are invited for a three-year PhD position in Physical AI at Aarhus University's Department of Electrical and Computer Engineering. The candidate will join the Adaptive
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Andrew Hodson 23rd October 2026 Languages English English English PhD position in Ionospheric Physics Apply for this job See advertisement About UNIS The University Centre in Svalbard (UNIS
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | about 20 hours ago
Job Offer from October 01, 2026 The International Max Planck Research School for Chemistry and Physics of Quantum Materials is a joint PhD program between the Max Planck Institute for Chemical
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([email protected] ) in a multidisciplinary environment spanning physical metallurgy, advanced characterisation, computational modelling and green ironmaking. Project Details Start: 2027, flexible by
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performance (10–50 Hz) on hardware with constrained memory, power and compute. The project will investigate training, adapting and deploying compact Physical AI models efficiently. Work may cover vision