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group including research assistants, PhD and MSc students, project volunteers and other members of the team. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps
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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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the areas: AI, deep neural networks, machine learning, applied topology, probability, statistics, signal processing. About the School The School has an exceptionally strong research presence across
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into clinically meaningful insights. About You We are looking for a motivated researcher with a PhD (or near completion in 2025/26) in statistical genomics, genetic epidemiology, bioinformatics, or a related field
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research into planet formation/protoplanetary discs or the ISM/star formation and may also have some experience in statistical methods and/or machine learning. Dr Winter and QMUL are committed to improving
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research, data presentation and statistical evaluation, as well as the ability to organise a varied workload between research, supervision and administration. The ability to communicate well, understand
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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
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in statistics and coding. About the School/Department/Institute/Project Our group is based in the Centre for Cancer Evolution at the Barts Cancer Institute and are affiliated with the Francis Crick