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and propagation paths and understand how disturbances spread through complex electrical systems. This work will provide an important foundation for future cognitive EMC systems that can ultimately adapt
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. Our Team is part of the Quantum Science group of the Faculty of Physics. We are member of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe, and of
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Your day-to-day research will move between theory, modelling and real systems. You will build mathematical and physics-based models of complex thermal systems. You will develop reduced order
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Master’s degree in physics, applied mathematics, or related disciplines. You have knowledge in soft matter/complex systems physics, biological physics, or statistical physics. You enjoy working in
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modelling. This is a 4-year researcher position starting at 1 January 2027 or as soon as possible thereafter. Job description The researcher will conduct research in physical oceanography within the Horizon
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is available from 01 January 2027 or later. You can submit your application via the 'Apply' button above. Title PhD Position in Physical AI: Adaptive Foundation Models for Robotics Research area and
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prediction to systems that reason, plan, interact and act in the physical world. This PhD addresses efficient long-horizon task execution in Physical AI—complex tasks needing sequences of decisions, subgoals
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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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comprehensive range of childcare services Family leave schemes Cycle loan scheme Discounted bus travel and Season Ticket travel loans. Application Process You will be required to upload a covering letter with a
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and fundamental physics, with the goal of creating a new precision system capable of probing unexplored regimes of physics beyond the Standard Model.