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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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into disease progression, with the ultimate aim of identifying novel biomarkers and therapeutic targets. You will hold a relevant PhD/DPhil, together with sufficient specialist knowledge in normal and malignant
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precancers and developing targeted interventions, including vaccines, to intercept them. The project focuses on designing, validating, and preclinically testing neoepitope-based mRNA vaccines to prevent BRCA
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facilely applied as a photoluminescent layer, targeting in situ detection and non-contact visualization of surface temperatures and pressures. You should hold a PhD/DPhil (or near completion*) in materials
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use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use
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postholder will undertake quantitative petrological research to investigate magma storage conditions and timescales of magmatic processes in the lead up to and during selected volcanic eruptions of target
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for their expression in plant colonizing bacteria and integrating them into the chromosomes of appropriate chassis. Control systems will be designed to restrict expression to target plants and ensure optimal expression
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Institute for Molecular and Computational Medicine (IMCM). You will test GSK assets and targets in established models of podocyte and mesangial cell pathology relevant to glomerular diseases. You will
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the possibility of making “universal” vaccines by targeting these epitopes. We have validated this methodology for the influenza virus (https://www.nature.com/articles/s41467-018-06228-8) and the technology has
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interpret high-resolution datasets that reveal new insights into disease progression, with the ultimate aim of identifying novel biomarkers and therapeutic targets. You will hold a relevant PhD/DPhil