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safer, more reliable, and more sustainable renewable energy systems. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods
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. The ideal candidate should have experience or interest in the following areas: Electromagnetic and multi-physics modelling, Handling complex electromagnetic problems, Modeling of power electronic systems and
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complex electromagnetic problems, Modeling of power electronic systems and component, particularly magnetic components, Optimization and surrogate-modeling in Python, Integration of machine learning and
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pruning), carbon-aware computing, minimizing algorithmic complexity, maintenance requirements, mapping energy efficiency and related aspects using KPI (key performance indicators) with respect to ESG
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pedestrian comfort, even in complex crowd scenarios. The research moves beyond predefined or rule-based behaviours by integrating online learning and adaptation with formal safety guarantees. The project will
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methods allow robots to articulate these complex social decisions to the humans nearby, providing verbal or visual justifications for its movements that foster a sense of safety and predictability in
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. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods, machine learning tools, and simulation techniques. If you thrive
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shaped by war, displacement, public health disruption, and long-term structural instability. Such emergencies differ widely in duration and intensity, ranging from sudden disruptions to long-term
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working with large and complex datasets. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree within a relevant social science discipline, e.g. sociology
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journalists but if a ‘deep search’ mode should be implemented – to provide better answers on more complex questions – external trusted sources must be carefully integrated and answers must be automatically