493 web-programmer-developer-"https:"-"https:"-"https:" PhD positions in United Kingdom
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) project, which aims to develop the tools required for assessing the error-reasoning ability of AI systems and to thereby foster the careful and effective introduction of AI agents into the research process
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to identify the material degradation and coatings applications details in extreme environments. A novel techniques/method will be developed with focus on better prediction and more accurate measurement of
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addition, the approach taken to develop physical activity guidelines for disabled people has been highly variable in terms of the process, the types of disabilities included in the evidence reviews, and the
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modifying geometry and re-running CFD, the research will develop models that map aerodynamic requirements directly to 3D blade geometries and associated flow fields. The project builds on a proven 2D inverse
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Crane Ltd, a world-renowned engineering technology leader. Why Join This PhD? Impact the Future of Clean Energy: Develop next-generation mechanical seals for high-pressure hydrogen systems—key
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Optimization: Develop laboratory and analytical protocols to maximize microbial DNA yield and improve detection of low abundant pathogens in food. 4) Advanced Innovation: Applying skills to specialized areas
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. Their performance, however, is strongly influenced by microtexture, crystallographic orientation clusters that develop in the material during processing. Controlling microtexture is critical for improving mechanical
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– Developing robotic systems embedded within architecture, encompassing swarm robotics, custom actuator design, modular robotics, safety-critical control, human–robot collaboration, and distributed manipulation
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April 2026 (5pm GMT) Outcomes notified: Mid-May 2026 Applicants must apply both for the studentship and for the CMCI PhD programme at King’s College London, quoting the funding code 2627AHCDA. Funding
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that may play a role in future sustainable processes with higherresource and energy efficiency. We will develop ultrahigh throughput assays to screen metagenomic libraries for new catalysts for applications