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to develop a broad range of skills and experiences as a platform for career development, within a vibrant global health research group led by Professor Andrew Prendergast. The post is based in the Centre
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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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will have a PhD in a related field, an emerging track record of outstanding publications, and well-developed plans for new research projects. This post is generously funded by the A. G. Leventis
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. In return we offer a highly competitive rewards and benefits package including: Generous annual leave entitlement Training and Development opportunities Pension Scheme with generous employer
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including: Generous annual leave entitlement Training and Development opportunities Pension Scheme with generous employer contribution Various schemes including Cycle to Work, Season Ticket Loans and help
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start date for this role would be from August 2025. Main Responsibilities Recruit, mentor and develop a high-performing service desk team. Responsible for 1st and 2nd line support for all users, ensuring
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-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and improving
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development and the promotion of safe, supportive, and enriching experiences for staff and students. RVC is committed to supporting your personal development and offer opportunities for further growth e.g
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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