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Field
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inaccurate, and rain gauge networks, while reliable, are too sparse to capture highly localised storms. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate
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honours degree (or equivalent) in a relevant discipline such as biology, ecology, microbiology, plant sciences, bioinformatics, or data science. The project is particularly suitable for students with
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with first-class honours or equivalent). Strong analytical and experimental skills are desirable. The project's specifics will be determined in collaboration with the successful candidate, tailoring
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honours or equivalent). Strong analytical and experimental skills are desirable. The project's specifics will be determined in collaboration with the successful candidate, tailoring the research
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the life cycle of its products. Existing practices often overlook indirect (Scope 3) emissions and fail to integrate real-time data analytics or life cycle assessments for decision-making. Therefore
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the Ven Te Chow Hydrosystems Laboratory at UIUC, using 3D-printed riverbed models derived from field data. Finally, insights from experiments will be incorporated into cutting edge flood models to enable
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this, we will combine bacterial and phage genomics with clinical data, perform qPCR expression assays and assess prophage mobilisation potential in the laboratory. This will help inform public health
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aims to quantify how the superficial geology, bedrock aquifers and mine systems of Gateshead and Newcastle influences groundwater flood risk and water contamination. For further information
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knowledge needed for the next generation of environmental scientists. For further information on the project, we will be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link
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University. Your work will contribute to safeguarding communities and critical infrastructure in a changing climate, making a real-world impact through science. For further information on the project, we will