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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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. Strong verbal and written communication skills are vital, along with the ability to convey research ideas and results clearly and logically, and to interact confidently and effectively with colleagues and
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. Richard Walker, Principal Investigator on the project. The successful candidate will work closely with Prof. Richard Walker, along with the broader COMET community, on a project sponsored by the UK Foreign
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excellent communication and organisational skills and attention to detail. Applicants should have a keen interest in research and be dedicated to the team’s output. Application Process You will be required
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drive such an attraction (J Chem Phys 2020, Langmuir 2022, Nature Nanotech 2024, Nature Communications 2025), now opening up many new and exciting avenues of exploration across scales, from molecules
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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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academic research and associated activities. Have excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group
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, and enabling data-driven improvements in patient care. You will have opportunities to apply foundation models—including large language models (LLMs) to real-world clinical data. You will work with well
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(symbolic reasoning and planning). Recently the 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
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hold a PhD/DPhil or be near completion of a PhD/DPhil in a relevant biological discipline. Good communication and documentation skills, and the ability to work effectively as part of a team are essential