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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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leading clinical and non-clinical scientists researching the cellular and molecular basis of inflammation, rheumatic, and cardiovascular diseases. The Centre is based within the picturesque Charterhouse
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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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computational analyses of epigenomic/transcriptomic data and machine learning. Experience in single-cell omics data is desirable. The post holder will be responsible to develop pipelines for the analysis
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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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/) The post holder will have two main responsibilities. From one side, they will collaborate closely with wet lab scientists in our team and analyse mutational and transcriptomic data coming from experiments