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hours per year (1 academic hour equals to 45 minutes). Teaching should reflect current research methods and results, and comprises lectures on two to four modules from the following areas: Data Structures
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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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, 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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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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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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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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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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of healthy aging using cutting-edge single-cell and AI-based tools, and population cohort data. You will be an integral member of the Awadalla lab, working with some of the world’s largest single-cell data
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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