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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites Research Groups at the Faculty of Engineering, which conduct cutting-edge research
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The PhD is funded by Kentown Support, a charity focused on improving community care for children with life-limiting conditions. The PhD will start in October 2025 and is funded for 3 years. Award
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The abuse of older people is one of the most abhorrent, growing, yet under-researched problems in modern society. Among the reasons for this is the lack of reliable datasets to understand the scale
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/ slot die coating. The screen-printing process is scientifically complex; a non-Newtonian multi-phase elastic material (containing conducting/semi-conducting particles, organic binder and solvent) is
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Characterisation" "Data Science and Machine Learning in Materials" "Plastics Recycling and Circular Economy" Research theme: "Materials Characterisation" "Data Science and Machine Learning in Materials" "Plastics
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dispersion - and develop a system to disperse the particles. The project will explore the options for dispersion and the options for nozzle design and whether substantial additional air supply is needed
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Overview: As data becomes more accessible, new challenges arise around how best to use it—especially in complex, multi-system environments like aerospace. Ontologies offer a powerful solution by
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Background Network Rail operates several telecom networks which provide connectivity for various signalling systems. Therefore, the performance of telecoms assets is integral to how the railway system operates
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-2026 JANUARY 2026 start ONLY For April and October starts please use the relevant application. This form is only to be used by those self-funded applicants seeking a place on a research degree programme