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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr
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physics-informed neural networks (PINNs). However, these approaches are still in their early stages of development and have yet to demonstrate their effectiveness for complex real engineering problems
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administration and organisation. We are looking for a/an VDSP - PhD Completion Contract 51 Faculty of Physics Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr
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Join us! Are you a curiosity-driven scientist with a background in physics, engineering, or a related discipline, who wants to lead work at the intersection of robotics and metamaterials? Join us
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Sciences with this industrial PhD studentship in Physics – fully funded by the University of Exeter and Leonardo UK. We’re looking for a student who has a passion for science, with ambition to learn and
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Quantum Fields, Information, and Next-Generation Cosmological Probes This PhD project will investigate theoretical aspects of quantum field theory in cosmological spacetimes, with a particular focus
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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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and large models, limiting real-world deployment. This PhD focuses on efficient Physical AI, emphasising data-efficient training, reinforcement learning, continual adaptation and edge deployment
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This project addresses a fundamental question in digital twin development for fusion energy systems: the relative roles and limitations of physics-based models, experimental data, and AI-driven