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aims to develop hybrid quantum–classical approaches for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how
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with provable performance for nonlinear systems. About us The Department of Mathematical Science provides a creative, dynamic and innovative environment where research, education, and societal
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-network computing. The work includes modeling coupled nonlinear dynamical systems, developing learning and inference schemes for neuromorphic/reservoir and Ising-type computation, and benchmarking
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sustainable and efficient transportation. Since fuel cells have slow dynamics and quick degradation, optimal and predictive energy management control is crucial for maximizing energy efficiency and extending