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suggesting candidate mechanisms of resistance. The project will combine complementary models and techniques, including co-transplantation of organoids in mouse models, in vivo CRISPR, single-cell RNA
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at the bench or in analysis. Programming in Python, R or MATLAB, and any experience of analysing image or sequencing data. A previous research project, internship or Master's thesis in a related area. How to
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. R or Python), an interest in health data science, and enthusiasm for interdisciplinary research aimed at improving patient outcomes. Applicants must meet the University of Cambridge entrance
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