581 data-"https:" "https:" "https:" "https:" "https:" "https:" "Here We Are" positions at University of Oxford
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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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, using examples from your skills and previous experience. Please see the below 'Job Description' for further details on the role, responsibilities, and selection criteria, as well as further information
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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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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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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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-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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, 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