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and large models, limiting real-world deployment. This PhD focuses on efficient Physical AI, emphasising data-efficient training, reinforcement learning, continual adaptation and edge deployment
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
structure solution, refinement and validation. Supervisors Start and duration The PhD commences on 1 January 2027 or as soon as possible thereafter and runs for four years. Work environment You will be based
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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the Palaeozoic and several Mesozoic successions. This PhD project will deliver the first integrated assessment of the full range of potential saline aquifer storage fairways across the UK sector of the Southern