72 data-"https:" "https:" "https:" "https:" "https:" positions at University of Oxford
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emerging area, benefiting from close collaboration with researchers in basic and computational neuroscience, as well as biomedical engineering. We are part of the Brain Network Dynamics Unit ( https
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). The successful candidate will work in Dr Ruxandra Dafinca’s team ( https://www.ndcn.ox.ac.uk/team/ruxandra-dafinca ) in a stimulating environment as part of the Nuffield Department of Clinical Neurosciences and
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Springmann, you will develop and apply global food-system models, integrating data and methods from across disciplines to assess pathways towards healthier and more sustainable diets. You will contribute
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University of Oxford and Johnson & Johnson. You will play a central role in the conduct of this study, including participant recruitment, clinical assessments, data acquisition, and analysis. In
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) Further information can be found at http://www.eng.ox.ac.uk/jobs/home Only online applications received before midday on 8 May 2026 can be considered. You will be required to upload a covering letter
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science research. You will have experience of handling complex survey data at scale. The role holder will support this research using publicly available government and other data (which include NFHS, DHS
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20 Feb 2026 Job Information Organisation/Company University of Oxford Department Experimental Psychology Research Field Psychological sciences » Psychology Researcher Profile First Stage Researcher
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capacity to convey discretion when dealing with confidential information are also essential. Experience of working with an electronic HR system and experience of academic/general administration within a
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demands You will take an active role in developing protocols, participant information, and study database set ups, and assist in ethics applications and amendments. You will support the analysis of data
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programme in metabolic psychiatry. Reporting to Associate Professor Amedeo Minichino, you will join a team working at the frontier of preventive mental health across clinical trials, large-scale data