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Geological Survey, Centre for Ecology and Hydrology, the Natural History Museum and Plymouth Marine Laboratory. The partnership aims to provide a broad training in earth and environmental sciences, designed
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. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making future transport
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, such as multi-photon absorption and hot-electron generation, and their role in switching mechanisms. Time-resolved spectroscopy, including pump-probe techniques, will be employed to measure sub-picosecond
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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: This PhD is aligned with an exciting new multi-centre research programme on parallel mesh generation for advancing cutting-edge high
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become valued members of the Cranfield Doctoral Network. This network brings together both research students and staff, providing a platform for our researchers to share ideas and collaborate in a multi
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are a multi-disciplinary team at the forefront of methodological innovation and policy and practice change. The Centre encompasses: 1) A Technology Appraisal Review team 2) an Evidence Synthesis Group 3
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trials on clinical practice in the UK. The successful applicant will be supervised by academics from the Centre for Evidence and Implementation Science (CEIS), University of Birmingham (Professor Amy Grove
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Nottingham Breast Cancer Centre PhD Studentship About the Project This is a fully-funded PhD studentship in the Nottingham Breast Cancer Research Centre at the University of Nottingham. Breast
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projects in the Centre for AI and Robotics Research. Funded PhD projects Adaptive Systems Research Group Artificial Intelligence in Games Continual and Open-ended Reinforcement Learning Information and the
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Cardiometabolic diseases (CVMD), such as heart disease and type 2 diabetes, represent a major global health burden and exhibit stark ethnic disparities. Current clinical prediction models, even