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the application of health economics methods to patient-level data as well as acting as a source of information and advice to other members of the group on health economic methodologies or procedures. About You You
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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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developing new research methodologies, as well as actively participating in public engagement activities of the Ethox Centre. To be considered, you will hold (or be close to completion of) a PhD/DPhil in
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becomes essential. This project will focus on building a comprehensive digital twin of a future quantum computer to investigate how classical subsystems scale and interact, and how this scaling impacts
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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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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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Oxford. The post-holder is required to hold a PhD/DPhil in a relevant discipline and will carry out independent research exploring fundamental mechanisms of mechanotransduction and its role in
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to determine the activators of inflammation in atherosclerosis. You will identify and develop suitable techniques, and apparatus, for the collection and analysis of data (e.g. flow and mass cytometry, confocal
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, or be close to completing, a PhD in mathematics or a related discipline, and possess sufficient specialist knowledge in either random matrix theory, analytic number theory or probability to work within
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data