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LEO, MEO, and GEO constellations), and complementary on-board sensors. Research will investigate algorithms for robust multi-sensor fusion and positioning assurance. A strong emphasis will be placed
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research centres. It is anticipated that the new materials’ understanding and the model generated within the project will enable a faster uptake of AM materials for rotating components and help
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The rapid proliferation of AI-generated synthetic media, including deepfakes and AI-assisted phishing, presents a critical and evolving challenge to enterprise cybersecurity. These threats erode
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applied research with global impact. The project is co-supervised by Dr Francis Hassard (Drinking Water & Biological Treatment) and Dr Michael Chipps (Thames Water, Research and Innovation Scientist
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the impacts of intermittent discharges, such as sewage overflow (SO) spills on our natural watercourses. This cutting-edge research will look at how to engineer these green technologies to maximise
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diagnostics, novel thermodynamic cycle performance, etc., which have been built up over the last half century. This provides a unique capability to assist researchers and engineers in new power plant designs
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. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making future transport
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
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IVHM Centre and supported by partners including Boeing, Rolls-Royce, Thales, and UKRI, the research provides a unique opportunity to advance next-generation embedded AI systems with enhanced longevity
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to healthcare and smart infrastructure. The research is hosted by the world-leading IVHM Centre, a founding partner of DARTeC, and benefits from a research environment shaped by collaborations with Boeing, Rolls