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system to the Cloud and progressing an ambitious programme of systems and process development to enhance efficiency and user experience. About the Role The successful candidate will be proactive, organised
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under the supervision of Dr Mehrdad Vasheghani Farahani from Department of Chemical Engineering, with co-supervision by Professor Ian Kinloch from Department of Materials. The successful candidate will
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Project summary An exciting opportunity is available to join a multidisciplinary research programme across the laboratories of Dr Salah Mansour, Dr Ali Roghanian and Dr Andres Vallejo
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Off Campus Hours of work: 40 hours per week, normally worked Monday to Friday
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of Mechanical, Aerospace and Civil Engineering. Tuition fees will be paid (at home rate) and you will receive a tax-free stipend set at the UKRI rate (£20,780 for 2025/26). We expect the stipend to increase each
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on software engineering, computational infrastructure, and open-science support, working across multiple work packages. The postholder will play a central role in maintaining and improving the group’s
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computing and advanced technology, driven by innovation, diversity, and a commitment to excellence. We’re creating an environment where brilliant minds from all backgrounds collaborate to push the boundaries
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-world skills to apply biocatalysis, protein engineering and sustainable manufacturing in industry. We offer: PhD projects co-developed with industry and aligned with real manufacturing challenges advanced
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computing and advanced technology, driven by innovation, diversity, and a commitment to excellence. We’re creating an environment where brilliant minds from all backgrounds collaborate to push the boundaries