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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling
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Responsibilities The incoming postdoctoral researcher will lead or contribute to key research activities within the LU-PCG, advancing control theory, machine learning algorithms, and integrated simulation workflows
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and maintaining the COE website using the university's content management system (CMS) Coordinating and scheduling social media content across the college's platforms, including drafting copy and
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infrastructure security Familiarity with data center systems (UPS, rectifiers, workload-energy coupling) Experience with real-time simulation or HIL platforms (OPAL-RT, RTDS, PSCAD, etc.) Strong interdisciplinary
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donor relations materials to ensure strict compliance with the University style guide, branding, and highest editorial standards, while directly addressing any copy questions or concerns with authors