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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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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based
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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
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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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and kinematic models with machine-learning-based channel state information (CSI) prediction to enable robust, low-latency connectivity across multi-layer NTN systems. This PhD project sits
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laboratories of the Centre for Engineering Research and Network and Security Research Centre. The successful candidates will work in a multi-disciplinary, collaborative environment that fosters innovation
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clinicians) and undertake a prospective mixed methods study investigating flare symptoms as they occur, using physiological markers (e.g. heart rate and sleep from wearables) objective tests (e.g. cognitive
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pahogens in M. polymorpha. Using comparative macroevolutionary analyses, molecular genetics, and multi-omics approaches, the candidate will investigate widely-conserved and lineage-specific aspects
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at the John Innes Centre, providing opportunities to develop extensive skills in a breadth of areas, including field surveys, plant pathology, molecular biology, and computational biology. Additionally, you