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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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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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the deadline. The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this
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focus on cancer outcomes, real-world evidence, and data-intensive population health research with direct relevance to NHS policy and guideline development. The supervisory team combines clinical and
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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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develop into a dynamic, confident and highly competent researcher with wider transferable skills (communication, project management and leadership) with an international network of colleagues.
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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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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