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development and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and
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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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. 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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). Overview This PhD will develop a data-driven framework to understand how climate-driven extreme weather affects electricity distribution networks and how targeted interventions can reduce
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). Minimum Data: ‘Research Stream’ and ‘Scholarship Category’ are required for Minimum data (see Section 3 of Appendix C – Guide to Applicants). Track Record: In addition to Publications, ‘Research Outputs
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agricultural systems, combining biodiversity surveys, animal movement data, landscape modelling and remote sensing to understand how trees within agricultural landscapes influence wildlife movement and
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observations, wireline logs and seismic data to develop geological and petrophysical models that constrain reactive reservoir simulations. These models will improve predictions of mineral alteration