203 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Washington University in St" research jobs 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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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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, 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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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
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, income-generating teams and data colleagues, you will prepare and review management accounts, support budgeting, forecasting and planning processes, and deliver clear, insightful financial information. You
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include supporting recruitment, data collection and analysis for qualitative and quantitative studies. They will also contribute to research publications and presentations, and help to run Patient and
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Licence (PIL A, B & C) to conduct or assist with intracranial surgery in animal models. Assist with obtaining research data, such as immunocytochemistry and microscopy in brain tissue, molecular or chemical
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, including a research budget, and act as a source of information and advice to other members of the group on scientific protocols and experimental techniques are highly desirable traits. Informal enquiries may
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-assembly, molecular binding, and catalysis. The project aims to overcome current data and methodological limitations to enable predictive modelling of complex supramolecular systems. This post is fixed term