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We are looking to appoint a dedicated and enthusiastic Research Associate (postdoctoral scientist) to join the vibrant research community at the University of Oxford, focused on climate change
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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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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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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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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
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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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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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of thermofluids. You should also have excellent communication skills, including the ability to write for publication. What we offer At the university of Oxford your happiness and wellbeing at work is important to
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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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, 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