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populations previously under-represented in clinical research. Populations of interest include pregnant women, people from minoritized ethnic groups, and people with multiple long-term conditions. The project
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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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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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, ethnographic and practice-led research to execute the CoastARTS project. Key tasks of this post include: Analysing the polar collection of the National Maritime Museum (NMM) and developing, in consultation with
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this cohort are around 40,000 University of London students who study programmes which are developed and delivered in partnership with our 17 federation members. The University of London is also home to
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, contributing to our development and the success of our mission, and we are looking for individuals who are enthusiastic at the idea of contributing to the building of Professor Osmani's lab at Queen Mary
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About the Role We are in search of exceptional, self-driven postdoctoral research associates (PDRAs) to join a dedicated team in developing and testing a groundbreaking minimally invasive device
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of Spiralian Asymmetric Cell Divisions”. This research position will reveal the mechanisms that drive the evolution of polar lobes during the first asymmetric cell divisions in animals with spiral cleavage. We
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to our development and the success of our mission, as well as collaborating with key members of TOTAL OneTech, which will include regular visits to Pau (France) to present results. The aim of the research
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development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site