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dynamics and (at intermediate redshifts) strong gravitational lensing, thus preserving and extending the team’s lead in this field. Applicants should have a PhD (or close to completion) in (Astro) physics
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cutting-edge research at the intersection of RL and LLMs. You will also design and run experiments to improve LLM efficiency and sustainability. You will hold a relevant PhD/DPhil or be near completion
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but part time working would be considered (minimum of 4 days, 30 hours per week, 0.8 FTE About You To be considered for this position you should have a PhD degree (or be near completion) in a relevant
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hold or be close to completion of a relevant PhD/DPhil, together with experience of research on Tibetan History; experience and skills in the translation of classical Tibetan, as used in administrative
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on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related discispline. You
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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analytical and statistical approaches and in setting the direction of the research project, with novel research ideas. It is essential that you currently hold a PhD in a related field (e.g. genomics
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wider group of researchers and DPhil students working on complementary themes in the Earth Surface Geochemistry group. They will provide guidance to less experienced members of the research group, while
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these processes, with the aim of understanding how ageing promotes CH progression. You will hold a PhD within the area of molecular biology or have thesis submitted at time of application, and will have experience
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will be required due to regulated activity involving children and ‘at risk’ adults. The successful candidate will hold, or have submitted a relevant PhD/DPhil (or equivalent) in a relevant discipline