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metascintillator prototypes towards clinical application. The research will combine experimental surface engineering, advanced materials characterisation (SEM, XRD, spectroscopy), and performance testing alongside
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targets the development of advanced coatings to prevent cell-to-cell propagation during runaway events. It combines experimental studies, numerical modelling, and real-world burner rig testing, culminating
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rarely found in traditional PhD programs. You'll have regular access to industry facilities, implement and test your solutions in operational environments. You'll present your findings at premier
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corrosion-fatigue conditions by integrating multiscale physics-based models combined with mesoscale experimental tests. This research will study the effects of corrosion-induced changes in composition
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interface designs that enable real-time, efficient processing in resource-constrained environments. Students will explore innovations in hardware-software integration, emphasizing energy efficiency
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stipend), this project will contribute to ambitious plans for SBSP as a vital part of the future Net Zero landscape.Applicants should have a first or second class UK honours degree or equivalent in a
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
developed a dataset by conducting high-velocity impact experiments on CFRP specimens using controlled testing setups. The multimodal dataset is to be processed using X-ray CT scans, SEM imaging, and
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that sensitive operations are isolated and protected from potential threats. Cranfield University offers a distinctive research environment renowned for its world-class programmes, cutting-edge facilities, and
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-harvesting technologies to promote sustainability. Cranfield University offers a distinctive research environment renowned for its world-class programmes, cutting-edge facilities, and strong industry
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) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the