196 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" research jobs at University of Oxford
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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), this project aims to characterise the spatial changes in cell and tissue mechanics, as well as gene and protein expression, that occur in lung fibrosis, using spatial multi-omics and mechanical data collected
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member of the Translational Neuropsychology research group with responsibility for the provision of research support for an NHS on-site based research study. The work includes validating new computer
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demonstrable molecular biology skills. You will be able to design the experiments, execute the experiment using various molecular biology techniques, and help analyse the data. You will have highly effective
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on patient perspectives and aims to understand the information older people need about the harms and benefits of prostate specific antigen (PSA) testing (ProsDetect II). The second project addresses challenges
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leadership. Responsibilities include coordinating major research programmes and partnerships, supporting training initiatives such as the Oxford EPSRC Centre for Doctoral Training in Health Data Science
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presenting data, and overseeing day-to-day organisation and compliance of the laboratory. This post is available from 01 May 2026 and is fixed-term for 2 years. Key responsibilities: Manage own research and
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group, including PhD and MSc and honours project students. You will also be heavily involved with data analysis and writing up manuscripts. Please see the below 'Job Description' for further details
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it is imperative that samples are promptly received and processed in a timely and rigorous manner, and all data and methodology is recorded in an organised and precise manner electronically
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experimental protocols; test hypotheses and analyse scientific data from a variety of sources; contribute ideas for new research projects; develop ideas for generating research income, and present detailed