32 application-forms "https:" "https:" "https:" "Robert Gordon University" PhD positions at Cranfield University
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opportunity. Please include the keyword PhD Studentship-Self Funding in the subject field. Online application form. For further information contact us today: T: +44 (0)1234 758083 E: study@cranfield.ac.uk
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AI-electronic systems with applications in aerospace, healthcare, and beyond. As AI systems become increasingly integrated into critical applications, ensuring their security and trustworthiness is
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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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compliance and operational integrity. The application of AI in these areas enhances the ability to predict system behaviours, detect anomalies, and streamline certification workflows. AI-driven tools can
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manufacturing, aerospace, automotive electronics, and intelligent infrastructure, where reliability and adaptive behaviour are becoming mission-critical. Applicants should have a first or second class UK honours
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Leonard Felicetti Entry requirements Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit a candidate with a background in
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date01 Jun 2026 Duration of award3 years EligibilityUK, Rest of world Reference numberCRAN-0022 Entry requirements Applicants should have first- or second-class UK honours degree or equivalent in a related
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opportunity to undertake an international placement. More details of the CDT WIRe can be found at www.cdtwire.com. It is an inclusive and diverse doctoral centre and welcomes applications from all highly
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meet the demands of industry. Ranked in the top five UK universities for commercial income for research, Cranfield is able to invest in and has become home to many world-class, large-scale facilities
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to identify the material degradation and coatings applications details in extreme environments. A novel techniques/method will be developed with focus on better prediction and more accurate measurement of