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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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. Since 1365. Data protection Application deadline: 06/20/2025 Post Doc
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will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate, develop ideas for generating research income, and present detailed
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area on our Why Join Us? - Information Page The Role and Department The successful candidate for this Research Associate position will join the Department of Engineering at Durham University. This is a
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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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protocols as well as contribute ideas for new research projects. Additionally, you will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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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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collaboration with other researchers. Support the development and submission of funding bids in the Centre including working on systematic literature reviews, data and impact plans, networking with non-academic
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data independently. The post holder must also have a strong statistical background, with at least one recent publication in an internationally reputable journal. Application Process You will be required