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for accelerated deployment of new medicines”, is funded by EPSRC and supported by 6 industry partners. The project is developing spatial tissue patterning methodologies to control cellular and matrix
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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subject area for the research programme is essential. Demonstrable experience in computational biology, computer science, statistics or related field. Essential experience in scripting languages to support data
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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performing experiments using human cells, murine tissues and/or cell lines. You must have previous experience on handling scientific data, data analysis and statistics. Must have excellent interpersonal