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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme, focused on understanding and preventing disease progression in
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, developing cutting-edge solutions for real-world challenges in financial services. You will lead and contribute to innovative research projects in machine learning, synthetic data, LLM orchestration, and RL
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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buildings and their evolving significance. By pioneering a novel theoretical framework and advancing innovative research methods, the project aims to profoundly influence the development of future landmarks
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team and is interested in joining a programme of discovery research which aims to better our understanding of the underlying mechanisms that drive late-stage kidney damage in people with and without
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assessing sustainable routes for large-scale removal of greenhouse gases from the atmosphere. As well as interact with others in this programme within the duration of the post, and the results of the PDRA
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evolution of a recently discovered family of clonally transmissible cancers which affect several species of marine bivalves. This new position is part of an ERC-funded project examining genome evolution in
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class of signalling molecule that acts during embryonic development to generate a variety of cell states. In response to distinct threshold levels of morphogen signalling, cells follow different fates and
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We are seeking an ambitious scientist to join a vibrant team examining the evolution of locomotion in birds. The overall aim of the project is to deliver an exhaustive anatomical and functional data
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12 months. The project involves developing nanopore sensing technologies for functional biomolecules and is funded by Bill and Melinda Gates Foundation. Find out more about the research and group