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Deadline: 7th January 2026 One fully funded, full-time PhD position to work with Dr. Viacheslav Borovitskiy in his new research group at the School of Informatics, University of Edinburgh. Our
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engineering applications, and their tight integration with planning and control (e.g., task-and-motion planning, differentiable planning, or Reinforcement Learning (RL) with safety constraints). There will be
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unit and then pre-processed data used as the input of the deep learning algorithm. The research will employ the SafeML tool (a novel open-source safety monitoring tool) to measure the statistical
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, treatment-based sports injury research, Podium prioritizes safety and prevention. The Institute develops and validates technologies to monitor and analyse individual risk factors for sports injuries, offering
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liquid methods, facilitating improved battery lifespan, reliability, and safety during ultra-fast charging and high discharge cycles. However, the multi-scale thermofluid dynamics complexities of boiling
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degree (or equivalent) in Computer Science, Cyber Security, Mathematics, or a related discipline. Applicants with a lower second class degree but having a relevant Master’s qualification will also be
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departments and research centres in the School of Policy and Global Affairs, offering potential for interdisciplinary research in politics, sociology, or criminology. About the programme Upon joining our PhD
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of multiple long-term conditions resulting in increased risk of hospitalisations, polypharmacy and/or mortality using population-scale, linked, electronic health records from the Secure Anonymised Information
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-settled status). An annual stipend equivalent to the UKRI doctoral stipend. Overview Future droughts pose a major threat to UK water security. This PhD will redefine drought assessment through a multi
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approach which considers multiple interacting aspects of the water system. This research will explore how SROs can be optimised to deliver dual benefits: reducing flood risk and enhancing water security