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. The PhD candidate, funded by the UKHSA, will work with the IID3 study team and the UKHSA using study data. The aim is to understand how laboratory methods can affect the detection of pathogens and how
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, particularly using Sentinel-1, enable rapid large-scale flood detection but face challenges in generalisation, dependence on labelled data, and representation of hydrological processes. Existing UK operational
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disruption. Using high-resolution climate data, fault records and network models, the project will quantify how hazard conditions interact with asset characteristics and network structure to produce service
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landscape connectivity. Field research: A major component of the PhD will involve intensive in-situ field measurements in selected sites of the TIF-CER field network and integration of data from across