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on their level of abstraction. This PhD aims to develop a common ontology based methodology to address interoperability issues both in the context of new and legacy assets. A breakdown of the objectives with
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systems engineering design and processes. It is expected that the researcher works closely with the academic team to develop a novel generative AI-based model and algorithm to research, analyse and optimise
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there to identify, design and develop appropriate interventions and experimentations. Cranfield Manufacturing and Materials has been following the ambitious strategy of developing a roadmap for Sustainable
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university that is a global leader for education and transformational research in technology and management. Cranfield is recognised for delivering outstanding research addressing contemporary global
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primarily focussed on a wide range of civil applications, but recent research has looked to extending the approach to military aircraft. The intent of this study is to further develop the method to military
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-engine design and a key research area is the ability to measure complex flow fields. Within that context, the overall aim of this PhD is to further develop non-intrusive laser-based flow measurement
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cyber threats and protect against potential disruptions and data breaches. The research aims to develop and implement cutting-edge automated security systems that excel in real-time threat detection and
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, fees and bursary but opportunity to attend conferences and to link with industrial experts in the field. The student is envisioned to further enhance and develop world class skills in AI and Machine
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connectivity and flight dynamics, incorporating Artificial Intelligence (AI) and Machine Learning (ML) to develop innovative prediction mechanisms. The primary goal of this project is to design advanced
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studentships to conduct multidisciplinary research on freshwater ecosystems, across two universities, Cranfield and Roehampton. The programme aims to develop a deeper, holistic understanding of the interactions