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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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data engineers, contributing to high-impact research on cancer prevention and risk. About you The successful candidate will work in a collaborative and internationally connected research environment
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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placing the human experience—rational, emotional and relational—at the centre of transformation research. The successful candidates will join a research project focused on transformation in the Technology
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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, please describe specifically how you have used agentic or developer-grade AI tools (e.g. Claude Code, Codex, Cursor, or equivalent) to conduct, accelerate, or scale your research. Entry-level use
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nitrogen-vacancy (NV) centres in diamond and related colour centres and engineer these into biocompatible quantum sensor platforms suitable for in-vivo biomedical sensing applications. The role will combine
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synergy with research carried out in our Center for Engineering Life (https://www.ucl.ac.uk/biosciences/cell-and-developmental-biology/centre-engineering-life-cl ), in particular synthetic developmental
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multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home . The Department
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vision, machine learning, computational imaging, surgical data science, biomedical engineering, medical image computing or a closely related discipline. They should have strong knowledge of AI, computer