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withstand ultra-high temperature (UHT) conditions while maintaining structural integrity and functional performance. The PhD Project This exciting research project is actively seeking ultra-high
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integrity and functional performance. The PhD Project This exciting research project is actively seeking ultra-high temperature (UHT) ceramic materials capable of surviving short-duration exposure
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, machine learning, and photonics. Be part of a multidisciplinary research team spanning science and engineering. Access state-of-the-art laboratories and high-performance computing facilities. Gain
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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Engineering Candidates must have a PhD in computer science or closely related disciplines, together with an international reputation in research and scholarship. An established track record in high quality
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improvements in performance for next-generation electronic and power systems. Aim You will have the opportunity to design, fabricate and study novel multilayer composite dielectric materials with ultra-high
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of knowledge and research into them differs. Thus, the theme of this PhD programme is to examine the effect of an ergogenic aid on sporting performance(s), where there is currently a lack of understanding
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Electrophysical remanufacturing of aerospace gas turbine components for performance restoration and critical material safeguarding This exciting opportunity is based within the Advanced
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This post is associated with ongoing research in the development and control of power electronic converters. Good communication skills are essential since the successful candidate will work closely with other colleagues and industrial partners. This is a full time, fixed term contract based in...
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics