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scholar to conduct research at the intersection of robotics, controls, and machine learning. The successful candidate will help shape next-generation approaches for autonomous multi-robot systems
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for: Designing optimization-based decision-making frameworks for zero-emission vehicles and charging infrastructure. Analyzing theoretical guarantees of these frameworks using tools from optimization, dynamical
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distributed computing, system software design and development for AI and digital twin applications, energy efficiency optimization, and contribute to innovative research aimed at improving food production
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