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UK’s largest university, a world leader in flexible part-time education combining a mission to widen access to higher education with research excellence, transforming lives through education. Find out
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use approaches which range from local micro-histories to large-scale quantitative analysis. We particularly value conversation between scholars of different periods and places, with different approaches
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supporting student learning Competence in programming and spatial data processing and analysis Excellent team skills and ability to work in highly interdisciplinary and intercultural teams Experience in
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to communicate and to work with others to identify and overcome practical challenges in the field, raising issues in a timely manner. Management of field trials will be balanced with data analysis and
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statistical analysis and ultimately change the role of purpose in biology. Our accompanying experimental programme in platelet biology and hemostasis, while designed to scaffold this computational development
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Baker). The subject of the research project within the Division of Cardiovascular Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics
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team, analysing and interpreting spatial transcriptomic data. You will work on the Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and
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their team. The work will be jointly supervised by Professor Helen Byrne (Mathematical Institute, MI), Professor Simon Leedham (NDM), Dr Joshua Moore (MI) and Dr Eoghan Mulholland (NDM). Colorectal Cancer
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negotiable in either direction. Role The core of the role is to analyse all aspects of potential genetic control systems, from simple “concept” models for new ideas, to sensitivity analysis for imperfections
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experience with computational modelling, method development, and numerical analysis applied to biology (or allied fields like neuroscience and medicine) the ability to work effectively in a multi-disciplinary