481 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"PhD-Jobs" PhD positions in United Kingdom
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Gravity, at Swansea University. They will benefit from daily interaction within a group of staff and students counting approximately forty researchers, and from the extensive programme of research seminars
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quality assessment and scanning strategy adjustment within a closed-loop system, enabling truly autonomous, self-optimising inspection. This work will develop a next-generation mobile robotic system capable
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developing novel gas mixtures and supersonic nozzles, to improve speed, quality, and resource efficiency. The research aims to cut energy use, reduce waste, and lower carbon emissions, supporting sustainable
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” because early abnormalities are missed by current diagnostic methods. This project sits at the cutting edge of biomedical engineering, AI, and respiratory medicine, developing a non-invasive, low-cost
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Overview The project aims to explore the potential of new warheads for the development of targeted covalent inhibitors for drug discovery. Targeted covalent inhibitors (TCIs) have vast potential
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10,000 year risk levels are required to be mitigated for. Through collaboration with EDF Energy’s Natural Hazards R&D Team, this project will utilise and develop state-of-the-art space simulations to probe
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
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Professor Noel Healy at noel.healy@ncl.ac.uk For further information about the School of Mathematics, Statistics and Physics please click here . As part of our commitment to career development for research
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@uwe.ac.uk ) Students at the College benefit from comprehensive support and guidance from the Doctoral Academy, including extensive professional development programme and research skills training. Find out
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of £25,726 plus a research training support grant of £20,000 and 100% fees paid. Overview This PhD project aims to develop a computationally efficient framework for the real-time prediction of river water