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that facilitate seamless integration between AI hardware components and embedded systems, ensuring efficient data flow and processing. Cranfield University offers a distinctive research environment renowned for its
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health management (IVHM) system that leads to enhance safety, reliability, maintainability and readiness. Generally, prognostics models can be broadly categorised into experience-based models, data-driven
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methods in the past. A piece of comprehensive computer software, Pythia with the corresponding capabilities have been developed and tested successfully in several industrial applications. The software can
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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are unable to provide feedback on individual applications, as outcomes are determined by independent panels. Deferral information Offers of funding are not deferrable. If you cannot start your programme by
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with a first class or upper second-class degree in engineering, physics, applied mathematics or a related field. A solid foundation in fluid dynamics and heat transfer, and experience with computer
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academic CV, detailing your education and qualifications; employment history; publications; and any other relevant information. You must nominate two academic referees (including one from your most recent
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skills training), provide those studying a research degree with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Dr Barmak Honarvar Shakibaei Asli
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of GAGs Are confident working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to
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for the collection of data to develop and validate prognostic models for filter degradation. Integrated Drive Generator (IDG) Rig: Simulates the operation of an aircraft's IDG, used to investigate fault detection