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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
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-ion batteries, rotating machinery, aircraft fuel system, APU, and electrical power generation system). A comprehensive test-bed for in-depth studies will be used for experiments for demonstration and
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production-grade system that integrates Vision Transformers for visual deepfakes, advanced Natural Language Processing (NLP) models for phishing detection, and a dedicated Explainable AI (XAI) layer
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. Cranfield University is a unique learning environment with world-class programmes, and close links with business, industry and governments, all combining to attract the best students and teaching staff from
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that incorporates realistic energy input linked to arc physics and equivalently accounts for the effects of liquid metal convection on temperature predictions. This innovative FEA approach will be informed by small
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and life-cycle assessment will broaden your professional network while a dedicated training budget allows you to attend specialised courses—such as drone photogrammetry or advanced bioinformatics—and to
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(s)PhD Start date26 Jan 2026 Duration of award3.5 years EligibilityUK, EU, Rest of world Reference numberSATM579 Entry requirements Applicants should have a first or second class UK honours degree or
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performance degradations and unwarranted system failures can occur. There is certain physical information known a priori in such aerospace platform operations. The main research hypothesis to be tested in