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of pediatric brain tumours (Vinel et al BMC Biology 2025, Constantinou et al Cell Reports 2024 and Vinel et al. Nature Communications 2021) to develop new personalised therapies. About You We seek an ambitious
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the training dynamics. This project seeks to establish a mathematical framework for closing this loop by quantitatively measuring and analysing the evolution of neural networks during training. We will explore
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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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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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term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly
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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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, 30 days’ leave per annum (pro-rata for part-time/fixed term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we
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, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development
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, development, implementation, and coordination of research and laboratory protocols to investigate transmission of enteric pathogens in low-income households of Salvador, Brazil within the context of large-scale