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technologies have exploded in recent years, generating multi-dimensional data from millions of cells and thousands of molecular features. Understanding these data and harnessing their insights remains an ongoing
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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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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic
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these manipulations have on gene expression. This full-time role would be ideal for someone with a strong background in molecular biology in either model organisms or parasites and an interest in epigenetics
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molecular therapeutics. Their ability to target challenging biological sites and modulate intracellular functions¿capabilities beyond those of traditional small molecules and biologics¿make them a promising
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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using these global wheat pathogens as a model system. There are two post-doctoral research positions and one PhD studentship associated with Dr. McDonald’s UKRI Future Leader Fellowship, which will
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with cutting-edge models and technologies—including patient-derived glioblastoma organoids, CRISPR-based screens, mass cytometry, and advanced microscopy—to dissect these complex biological processes
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of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging and computational modelling
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against cancer. Within the School, the Comprehensive Cancer Centre (CCC) integrates molecular discovery, drug-development pipelines and patient-facing trials, with strengths in personalised medicine, immuno