464 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
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work. Experience with data analysis, coding, or malaria immunology is desirable, but training will be provided where needed. This role suits someone who is motivated, curious, and ready to support a busy
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for optical imaging. Experience and interest in data analysis and the ability to perform basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will hold
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Cathy Ye (email: hua.ye@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 30 January 2026 can
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form. However, successful applicants will be transferred to Somerville College in order to take up the scholarship. More information can be found on the Somerville College website. Selection is expected
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Institute of Particle Astrophysics and Cosmology (BIPAC), on research aimed at extracting cosmological information from large-scale structure (LSS) and Cosmic Microwave Background (CMB) probes on very large
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within a team. You will have up-to-date knowledge of UK employment law, and awareness of data protection and information security guidelines. You will enjoy providing a high level of customer service and
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vaccine-preventable diseases. The role involves designing and implementing novel modelling methodologies, analysing complex qualitative and quantitative data, publishing in peer-reviewed journals, and
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, Rheumatology and Musculoskeletal Sciences supporting the research team in tissue and data collection and data management for clinical trials and registries and will ensure all work is conducted in accordance
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with good understanding of regulations related to Biobanking and data management and previous experience of working in a laboratory environment are essential. Hands-on experience of tissue bank techniques and
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(RCTs). For Grade 7 applicants, you must also be fluent in trial design and skilled in statistical techniques relevant to RCTs. Clear communication of statistical information in simple terms is essential