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theory and practical algorithms that move reinforcement learning closer to real-world systems. Position 1 will focus on trajectory-centric optimization, Position 2 on adaptive policies, and both will
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heat transfer, phase equilibria, fluid flow, and process control and operation Collaborate with other members of the research group and external partners to achieve project goals Present research
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