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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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for this research studentship, please complete the online application form. For further information contact us today: T: +44 (0)1234 758540 E: study@cranfield.ac.uk
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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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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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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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Applicants should have a first or second class UK honours degree or equivalent in in Design, Engineering, Computer Science/IT or a related subject. Experience in system design, and/or manufacturing is
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of first or second class UK honours degree or equivalent in a related discipline, science (chemistry/physics) or engineering. The ideal candidate should have some understanding in the area of materials
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readiness. A comprehensive test-bed for in-depth studies will be used for experiments for demonstration and evaluation. Rotating machinery has a fundamental role in many industries. Therefore, there is a need