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uncertainty. In parallel, the activity of specific neuronal subtypes will be measured. These findings will inform a novel theoretical framework which will be iteratively refined by experiments to selectively
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of error and uncertainty. In parallel, the activity of specific neuronal subtypes will be measured. These findings will inform a novel theoretical framework which will be iteratively refined by experiments
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mathematics, and knowledge in deep learning. Practical experience in a broad range of techniques including LLM training, evaluation, RLVR, PEFT, quantisation, tensor/data parallelism. Ideally, familiarity with
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is situated in the Intellectual Disabilities Research Institute (IDRIS). The successful applicant will be employed to work on the BEAMS trial which is a multicentre two-arm parallel randomised
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empirical evidence. The project runs for 33 months and comprises three research components operating in parallel, each led by a postdoctoral researcher and integrated through monthly team meetings and
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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, maintaining the website and other resources). Delivering tutorials at conferences and summer schools. Mentoring PhD and MSc students. Presenting research at international conferences and workshops. Contributing
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-checked security guarantees. In parallel, we will investigate how modern AI techniques can accelerate large-scale formal verification, developing AI proof agents that can maintain, extend and refactor
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investigating the role of inversions in natural populations of non-model species. Applicants should have a PhD (or be close to completion / have equivalent postdoctoral level work experience) in molecular ecology
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remain poorly understood. This fully funded PhD studentship offers an exceptional opportunity to work at the interface of health economics, behavioural science, and biological modelling to generate