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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
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autonomous systems with applications spanning aerospace, nuclear engineering, and embodied intelligence. Vision We are seeking a PhD student who is highly motivated to work at the interface of reinforcement
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tasks, and the need for precision. Effective operator training and autonomous robotic assistance are crucial to ensuring safe and efficient teleoperation in these extreme conditions. This PhD project
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