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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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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 successful applicant will gain expertise in analysing large geological datasets, integrating multidisciplinary information and evaluating geological storage systems at regional scale. The outcomes will
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
, the University of Copenhagen and the MAX IV synchrotron. You will work with an international team of mathematicians, crystallographers and data scientists. The project aims to transform small-molecule structure