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modeling, power/performance optimization, and energy-aware scheduling; Knowledge of optimization methods (e.g., convex optimization, combinatorial optimization, reinforcement learning) for energy management
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to develop and optimize scalable experimental protocols across diverse material families. This role is part of a multidisciplinary team integrating materials chemistry, machine learning, and autonomous
Searches related to combinatorial optimization
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