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for rhabdomyosarcoma, a rare and aggressive paediatric and young adult cancer with significant unmet clinical need. This is a wet lab position based in the Centre for Immuno-Oncology within the Nuffield Department
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a 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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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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University weighting We are excited to offer this fixed-term Research Assistant position at the University of Oxford, under the supervision of Professor Nobuko Yoshida. The Research Assistant will be part of
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Applications are invited for a Postdoctoral Research Associate in Atmospheric Dynamics position. This role is part of the recently funded NERC ‘Arctic Butterflies’ project to investigate the role
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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Professor Chris Russell. This is an exciting opportunity for you to work at the cutting edge of AI, contributing to a major shift in how we understand and apply foundation models. The position is full-time
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concept of agents has come to the fore again, prompted by the rise of Large Language Models (LLMs) – put crudely, the idea is to use LLMs, in the sense of being powerful general purpose intelligent systems
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Haematology Unit. You will use state-of-the-art genetic tools and functional genomics to generate and characterize models of CH and ageing, including the role of the bone marrow microenvironment in