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, they may exhibit significant nonlinear large-signal behavior during disturbances, including current limiting, control mode switching, and loss of synchronism. In multi-machine systems, these transient
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limiting, control mode switching, and loss of synchronism. In multi-machine systems, these transient dynamics are further shaped by interactions among multiple GFM units and the surrounding grid strength
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electronic technologies, combining high‑fidelity multiphysics modelling with modern data‑driven design methodologies. The successful candidate will help drive advances in: Broadband electromagnetic and multi
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drive advances in: Broadband electromagnetic and multi-physics modelling of power electronic systems and components, with special focus of magnetic components, Incorporating physics-driven machine
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of computational chemistry and develop new methodologies that push simulations into length- and time-scales that traditional methods cannot reach. You will be embedded in the Pioneer Center CAPeX, an
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rather than one-shot scenario evaluation. The core research directions of the PhD project include: (i) multi-agent RL to jointly learn policies for multiple control parameters; (ii) uncertainty-aware
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Communication, the Faculty of Social Sciences and Humanities and the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, the Faculty of Medicine. AI:GENE-XPLAIN develops AI tools
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already at the early design stage. In this role, you will develop power converter integration concepts that support design for disassembly. Multi-physics simulation tools will be used to analyze
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shaping and executing the experimental strategy. Research Environment and Collaborative Structure The position is embedded in the Protein Research Group (PRG), an internationally recognized center
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disassembly, reuse, and remanufacturing already at the early design stage. In this role, you will develop power converter integration concepts that support design for disassembly. Multi-physics simulation tools