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solve complex problems from theory to decision making, combining several disciplines (e.g. economics and applied sciences). A candidate with strong statistical/mathematical knowledge and experience
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clinicians) and undertake a prospective mixed methods study investigating flare symptoms as they occur, using physiological markers (e.g. heart rate and sleep from wearables) objective tests (e.g. cognitive
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. Through these approaches, we will expand our knowledge of the roles and regulation of PrLPs in vivo, providing critical insight into how these proteins become dysregulated with age. We will also increase
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knowledge gaps by combining novel observations of individual fires globally (5) and climate datasets with machine learning to predict megafire occurrence. The successful candidate will contribute to a ground
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bioremediation assays to identify new plasmid regulatory genes and determine how they manipulate bacteria. This knowledge will enable them to design, build and test a series of synthetic biodegradation plasmids
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of other tracers such as Radon (5); Investigate O2 and CO2 fossil fuel emissions ratios for the UK (3); Work towards near real-time top-down ffCO2 emissions reporting for the UK; Use your new ffCO2 knowledge
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. translocations) affect the distribution, and thus impact, of such mutations within endangered populations is limited. Addressing these knowledge gaps is important for realising the potential of genomic data in