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possible application, we’ve created a Candidate Information Pack that provides further information about the role and how to apply. It outlines what we’re looking for, how to structure your CV and covering
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of an on-site Gym and free parking close to the College site. Before You Apply – Please Read To help you submit the strongest possible application, we’ve created a Candidate Information Pack that provides further
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biologists on analysing microscopy data of developing embryos. This post is available immediately and is fixed term for 3 years. Key responsibilities: Develop research questions within a specific context
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of working with a financial accounting system and in exporting data to produce meaningful reports to meet the needs of different stakeholders. Working closely with the Finance Business Partner, you will
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design and implementation of data collection activities, including interviews, surveys, focus groups, and documentary analysis. A key aspect of the role will be capturing the perspectives of practitioners
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, where detailed information on the fund will be available in December 2025. The opening date for applications is 1st January 2026, and the closing date is 15th April 2026. We advise that you check the COSF
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ability in relation to the requirements of the role. For further information, please email careers@cai.cam.ac.uk Previous applicants for this role, need not reapply. The College Gonville & Caius College is
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right‑to‑work checks and ensuring accurate data collection for HR/payroll processes. Build Relationships and Improve the Service, proactively developing strong relationships with key hiring departments
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with employers or external partners. Confidence managing events, projects and competing priorities. Strong digital and written communication skills, including CRM and data use. A commitment to inclusion
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-to-phenotype models for human health at the Big Data Institute (BDI), University of Oxford. The successful candidate will contribute to a strategic research programme integrating population-scale biomedical data