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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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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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computational physics. Starting date of the position is March 1st 2027. The successful candidate will join the project "From turbulent flows to quantum fields and gravity: energy-momentum transport via symmetry
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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
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PhD student (m/f/d) in the field of mathematics, scientific computing, physics or an engineering discipline with a proven strong focus on numerical methods Berlin Division 8.4: Acoustic and
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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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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23 Sep 2026 Job Information Organisation/Company Babes-Bolyai University Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline
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, electronics, biostatistics, mathematics, physics, biomedical engineering, or related fields). At the date of application, the candidate must be enrolled in a doctoral (PhD) study programme. Basic programming