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leads across the School to deliver against the multiple assessed elements of the REF submission. You will lead the collection and review of data and information, offer expert guidance and support, and
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recruitment into EPIC-Oxford 2, a new phase of the EPIC-Oxford cohort study, and will work in close collaboration with a Data Manager and epidemiologists from the Unit. The main responsibilities will include
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The project involves a combination of optical imaging, nanofabrication, data analysis, and
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Closing Date: Sunday 19 April 2026 Interview Date: To be confirmed Reference: 5297-E Our Information and Library Services Directorate delivers award winning IT services and support, library, academic and
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of administration for the Centre, including event management. This will include working closely with the RSS Manager to communicate information effectively across the King’s NIHR RSS partnership including Greater
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programme on a day-to-day basis, participating in project meetings, liaising with research sites, and responding to queries. Develop data collection materials (such as interview schedules and outcome measures
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individual vacancy. In applying for this role, you will provide personal data which the College will process in accordance with its data protection obligations and its Data Protection Policy, Data protection
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we’re looking for: We’re on the lookout for an experienced research individual at a post-doctoral level. With experience in underwater acoustic data collection, signal processing and data management as
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London School of Economics and Political Science; | London, England | United Kingdom | about 2 hours ago
areas and/or develop their own research and policy agenda: City Government Innovation Observatory: using large-scale data and quantitative analysis to understand how city governments across Europe
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will be primarily responsible for recruiting secondary school participants and conducting data collection as part of a new longitudinal project, generously funded by the Huo Family Foundation, on how