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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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in edge intelligence for healthcare while gaining comprehensive training in both professional and ethical aspects of research. Number Of Awards: 1 Start Date: 1st October 2025 Award Duration: 4 years
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This project aims to enhance best practices in strain quantification for biomedical applications, facilitating the transition of image-based measurement methods from laboratory research to clinical
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doctoral training programme dedicated to academic research in space propulsion. R2T2 PhD programmes are already underway at nine UK universities, and the programme overall is centred on the Westcott facility
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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The Centre for National Training and Research Excellence in Understanding Behaviour (Centre-UB) is inviting applications for a Doctoral Studentship in association with our collaborative partner
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predict and rationalise XFEL observables are desperately needed such that XFEL results can reach their full potential. Aim This research aims to utilise the latest advances of computational methods (machine
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Language Model, or Artificial Intelligence be used? The impact of this research will be to enable practitioners and the stakeholders of systems models to make objective assessment of model qualities using
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behaviours, and healthcare use. The research will lead to evidence-informed recommendations to guide future scale-up. Based within the Centre for Digital Innovations in Health & Social Care, you will join a
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Research/Industry Experience: Split your time between advanced laboratories at The University of Sheffield and John Crane’s Research Centre in Manchester and Manufacturing site in Slough. Project Overview