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companies across Europe. The aim is to train a new generation of researchers in generative AI-driven, explainable and proactive cyber-physical systems (CPS) with applications in Industry 5.0, healthcare
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Description 3 x Academic Researcher (m/f/d) (TV-L E 13, 100%, Service Location: Clausthal-Zellerfeld) The research group Dependable and Autonomous Cyber-physical Systems (DACS) at the Institute
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, fairness). Provenance and integrity of machine learning pipelines. Generative content authenticity. Cyber-physical machine learning systems. Scalability of properties from small to large models. In
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strategies, we support the sustainable transformation of energy systems. Our focus includes cyber-physical digital twins, automated control and testing systems, advanced forecasting and energy management
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systems for both learning and dynamical systems. This work will include new approaches to online learning of optimal policies for hierarchical cyber-physical systems, mixing components of learning and
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the area of electric power grids. Essential Duties and Responsibilities: • Perform cyber-physical system modeling and simulation for the power grid. • Perform research on power system dynamics and