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advanced control synthesis, neural observer development, scenario optimization, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. This position targets experts in control
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Directing enrollment operations to improve efficiency, yield performance, and applicant experience Overseeing CRM optimization and ensuring data integrity across recruitment platforms Conducting ongoing
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Strong expertise in at least one: power system dynamics, inverter-based resources, microgrid modeling, or nonlinear control Solid foundation in dynamical systems, optimization, or control theory
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, including the development and validation of fast models for integrated core-edge digital twins, control-oriented simulations, and fusion-plasma scenario optimization. Prepare and publish research findings in