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systems enables effective digitalisation and automation transition. This project aims to build a generative AI model and algorithm for optimising manufacturing systems’ engineering design and processes
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This is a self-funded PhD position to work with Dr Adnan Syed in the Surface Engineering and Precision Centre. The PhD project will focus studying high temperature corrosion mechanisms in details
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be compared with the available empirical studies in the literature. Cranfield is an exclusively postgraduate university that is a global leader for transformational research and education in technology
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An exciting PhD studentship opportunity fully-funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership (DTP). This project would suit students with a
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Engineering or aerospace or a related discipline. This project would suit those with a strong interest in aviation. Experience of computer programming (preferably in Java) would be an advantage. A logical
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transformation. As the amount of data increases, it is necessary to store, standardise, process, and make data accessible in a way that gets beyond the quirks of different teams and technology. This requires
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year EligibilityUK, EU, Rest of world Reference numberSATM405 Entry requirements Applicants should have an equivalent of first or second class UK honours degree or equivalent in Mechanical Engineering
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upgrade water treatment infrastructure and increase its resilience using nanobubble technology as a chemical-free approach. The successful candidate will work closely with the water industry to develop
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diverse and inclusive research group. The group is focusing on technologies for the system integration of data multi-link and the exploration of advanced communications technology and predications-based
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research extremely relevant in today's interconnected and vulnerable digital landscape. Additionally, as technology continues to advance, the study contributes to ongoing efforts to stay ahead of emerging