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to advancing precision medicine through computational replicas of human physiology and healthcare systems. The department brings together expertise in engineering, medical imaging, computational modelling, and
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areas we will be recruiting in are: -Field theory and beyond the standard model particle physics, collider phenomenology and LHC physics. -The intersection of particle physics, astrophysics and cosmology
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for publication in peer-reviewed conferences and journals. The research will look at new solution concepts, inspired by the literature on behavioural economics, to model the imperfect rationality of AI agents and
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for publication in peer-reviewed conferences and journals. The research will look at new solution concepts, inspired by the literature on behavioural economics, to model the imperfect rationality of AI agents and
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experience or strong interest in machine‑learning approaches for accelerating molecular modelling and the prediction of chemical properties. For informal enquiries, please contact Dr Martin‑Martinez
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of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation models. These models will leverage both imaging data and
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to their environment and how in turn their influence health and disease. The successful candidate will combine preclinical models and patient-derived samples to explore the metabolic regulation of macrophages in
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to their environment and how in turn their influence health and disease. The successful candidate will combine preclinical models and patient-derived samples to explore the metabolic regulation of macrophages in
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, and robust communication links for operation in complex biological environments. The role involves advanced electromagnetic modelling, system-level simulation, and experimental validation to achieve