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offers the chance to work with zebrafish disease models, explore new therapeutic targets, and gain invaluable experience in experimental techniques such as CRISPR gene editing, in vivo imaging, and
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optimisation techniques and AI-based models to support decision-making in microgrid design and operation. Working in collaboration with a leading global mission critical firm of engineers, this project offers
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. Develops and applies numerical and statistical models to better understand and predict flood risks in coastal environments, including the integration of hydrodynamic, climatic, and socio-environmental data
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on pluripotent stem cells and role of BET proteins in inflammation and other diseases. We use a wide range of technologies including molecular biology, cell biology, conditional KO mouse models, computational
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cellular immunology. The incumbent will also be involved in the oversight of multiple in vivo mouse models of disease. The Research Assistant Technician will maintain important mouse colonies, assist with
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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. Maintain and update specialist knowledge by critically appraising relevant literature in urban resilience, infrastructure systems, or data-driven modeling. Actively participate within the research group
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, working on projects that aim to develop and characterize the activity of engineered anti-inflammatory therapeutics, evaluating them in animal models of autoimmunity and chronic inflammatory diseases
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employing Regression Discontinuity Designs (RDD) and related causal inference models, with a strong emphasis on advancing statistical methodology. The project presents significant methodological challenges
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evasion thus supporting bacterial pathogenesis. We will characterise the antibacterial and anti-host activities of the T6SS and selected effectors using in vitro and in vivo models, deletion mutants and