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climate models, including the UK Earth System Model (UKESM), resulting in critical gaps in both seasonal forecasts and long-term climate projections. This PhD will develop a new parameterisation of snow
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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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. CASE Partner Met Office has developed the JULES model that will be used by the PhD student to explore the role of charcoal in soil carbon dynamics. Through various discussions, Met Office staff have
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of pseudorange correction models. Enforcing such constraints offers substantial potential benefits, including faster convergence, improved generalisation, and reduced overfitting. At the same time, these benefits
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, encompassing advanced geospatial analysis, remote sensing methods, atmospheric transport modelling, and epidemiological data integration. The researcher will also receive guidance in handling large datasets
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into rivers to restore natural processes, are increasingly employed to address habitat degradation, biodiversity loss, and flood-risk. This PhD aims to monitor and model the ecological responses of plant and
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deliver this service, and on what scale? This PhD project will provide the tools to answer that question. Building on data and findings from the UK’s CONVEX seascape survey, this studentship will
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substantial intensification of the ocean heat transport, highlighting their climatic influence. However, the dynamics of submesoscale flows, and hence their representation in climate models, have not been
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behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
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recombination, maintaining genetic linkage of toxin/antitoxin-like systems. As a result, these chromosomes accumulate deleterious mutations that are unaccounted for in existing gene drive models. The student will