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To help you submit the strongest 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
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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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its digital education with the rollout of a new Learning Management System (LMS), powered by Canvas. More information regarding the rollout can be found here . What we can offer you: The opportunity
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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
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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Foundation Trust, and South London and Maudsley NHS Foundation Trust. The post-holder will ensure adherence to approved protocols and undertake effective source data verification. The post-holder will ensure
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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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including Employer Engagement, Student Development, Unitemps and Information. Together these teams service the careers and employability needs of our students. Responsibilities This six-month, part-time
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), with experience working in a research or administrative environment (ideally within academia or research management). You will have a strong analytical mindset and be comfortable working with data
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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