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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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and management. Research Excellence Framework 2014 (REF) has recognised 81% of Cranfield’s research as world leading or internationally excellent in its quality. Every year Cranfield graduates
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Learning with application to hard and challenging defense problems providing a great skill set for employability after the degree in both industry but also academia as well. At a glance Application
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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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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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, Materials Science/Engineering, Aerospace Engineering, Physics, Chemical Engineering or related discipline. The candidates should be self-motivated, have good communication skills, and an interest in
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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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travel for international conference. The candidate will be working with a highly interdisciplinary and international team to develop the advanced sensors technology for wastewater surveillance (wastewater
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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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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