591 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "Univ" positions at University of Oxford
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, maintain HR systems and data integrity, and contribute to continuous improvement as we streamline workflows and remove bottlenecks. This fixed-term post (until July 2026) offers valuable breadth and
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MSc Nature, Society and Environmental Governance MSc Public Policy Research MSc Quantum Technologies MSc Social Data Science MSc Social Science of the Internet MSc (FT and PT) Socio-Legal Research MPhil
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Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description. Click here for information and advice on writing
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, contributing to data analysis and reporting, and helping to ensure the smooth running of research programmes. About you We are looking for someone who is proactive, organised, and collaborative, with strong
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-clamping (mandatory) and Ca2+ imaging as well as FRET; test hypotheses and analyse scientific data from a variety of sources; and collaborate in the preparation of scientific reports and journal articles and
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, decision-making, or other higher cognitive processes and experience of designing behavioural tasks and analysing behavioural data is also required. You will be able to demonstrate knowledge
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applications, and be willing to use technology to the full to reduce administrative processes. You should have a very good standard of numeracy and experience of working with data. A strong customer focus and
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, Sheffield, London and Oxford). Working closely with the senior research team, you will conduct and manage research, including study set up and ethics, recruitment, consent processes, and data collection
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you deliver is completed in a safe way. You will be computer literate, have great communication skills, and be confident in your ability to communicate with students, contractors and University staff
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. You will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate. Adapt existing and develop new scientific analytical pipelines