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analysis, interpretation, and write-up using a critical social science approach. Duties will include: coding and thematic analysis and of data; interpretation of results; developing a robust qualitative
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contribute to cutting-edge research spanning fundamental T cell biology, cancer immunotherapy, and immune-based cancer prevention strategies. The postholder will investigate how cancer cells manipulate local
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base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
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candidate with skills and experience in some of the following areas: Quantitative approaches such as longitudinal data analysis, analysis of large datasets and/or data science Experience of working with
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organoid and across organoids, enhancing our theoretical understanding of the emerging information content within the single organoid and across the array, through the development of analytical and modelling
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completion) in AI, Machine Learning, Data Science, Control or Energy Systems Engineering, or a related field. Strong expertise in AI for real-time systems, predictive analytics, or Digital Twins. Experience
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biology, biochemistry, and cell biology techniques (e.g. molecular cloning, protein and RNA extraction, PCR, gel electrophoresis, western blotting, mammalian cell culture, genetic manipulation of cells
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We are looking to appoint a highly motivated and skilled Postdoctoral Researcher, with a clinical science or physiology background, to work at the Cardiovascular Clinical Research Facility
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Institute. This role is especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social
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working under pressure For further information about this position and to apply, visit http://jobs.sgul.ac.uk . The School of Health and Medical Sciences is committed to promoting equality, diversity and