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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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into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. The position is full-time and fixed term for 41 months or to the funding end date of 30
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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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, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. The postholder will help lead a project work package
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well as proficiency in data analysis and coding. Your writing and communication skills allow you to interact effectively with different academic communities. Applications should include responses to each
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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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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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of atherosclerosis and have the capacity to deliver high-quality research outputs. You will demonstrate good spoken and written communication skills, with an ability to clearly present results to multidisciplinary
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cellular organisation and you will be expected you to manage your own academic research, as well as collaborate with our team and other scientists. You should also have excellent communication skills to be