570 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" positions at University of Oxford
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cell-based assays. You will possess strong experimental design and data analysis skills, with the ability to independently plan, execute and troubleshoot complex experiments. You will have highly
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). You will have experience of managing and working with clinical research or patient data e.g. data entry, data coding, entry validation and reporting, with critical and intelligent attention to detail
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attached 'Job Description' document below to view the full information for this post, including the essential and desirable selection criteria. Once you have reviewed this document, you may apply
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@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 Monday 20th April 2026 can be considered. You will
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Administration or RSA Diploma) and/or work experience at a similar level. They should also have the ability to use standard computer programs (Outlook, Word, Excel), alongside good attention to detail and an
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% of working hours on-site and 40% remotely) More information about working at the School can be found on our jobs page . About the role The Blavatnik School of Government is looking to recruit an Executive
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techniques such as ELISpot, ELISA and flow cytometry, and cell and tissue culture. You will analyse and interpret data, and present findings internally and externally. You will liaise with collaborators
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, Inequality, and Opportunity. About you You have completed, or be close to completion, of a doctorate in a social science discipline (or a relevant data science field), have interest and research in the field
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partners to design, implement and refine robust MEL approaches across a diverse research portfolio. This will include overseeing systematic data collection and analysis using quantitative and qualitative
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific