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conducting long-term participant observation, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised
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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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-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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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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reliable, timely management of study data, including collection, processing, validation, and quality assurance. The CSOR programme focuses on improving outcomes for children undergoing complex surgeries in
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Researcher to explore the cellular and genomic determinants 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
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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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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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analysing data. One of the key aims of the project is to improve understanding of how introducing new professional roles into primary care can improve patient care and outcomes. The successful applicant will