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Job id: 155026. Salary: £45,031 - £52,514 per annum inclusive of London Weighting Allowance. Posted: 11 August 2026. Closing date: 18 August 2026. Business unit: Faculty of Life Sciences
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) is a vibrant faculty based in the heart of London with a long tradition of world-leading research and teaching in physics
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underlying biology and functional genomics methods, the candidate will integrate diverse data types at scale. The candidate will apply the latest developments in AI towards investigating our research questions
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provide high-level support to the CDT’s Management team, including: managing the annual cycle of work, providing information and advice, drafting reports, collating and analysing information and statistics
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of healthcare Expertise in digital health, AI, wearable technology, and strong understanding of multimodal data analysis Experience and evidence of aptitude for leading large-scale digital health research
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the analysis of crosslinking and immunoprecipitation (CLIP), ribosome profiling and RNA proximity-ligation data (e.g. hiCLIP). We are looking for an innovative, and highly motivated scientist who is keen to
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will deliver a first-class user experience for staff and students. Working within a ticket-based service management framework and appropriate SLAs, the role holder will support all the technology needs
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Job id: 158025. Salary: £39,076 - £43,909 per annum inclusive of London Weighting Allowance. Posted: 10 September 2026. Closing date: 29 September 2026. Business unit: Faculty of Life Sciences
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Job id: 158685. Salary: £39,076 - £43,909 per annum, Including London Weighting Allowance. Posted: 17 September 2026. Closing date: 04 October 2026. Business unit: Faculty of Life Sciences
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professional services support for all aspects of the development and delivery of the Engagement and Impact submission. Excellent administration is central to the role, combining project coordination, information