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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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most exploited natural resource after water, and riverbed sand mining has increased dramatically in recent decades. This activity reshapes river channels, altering their topography, destabilising banks
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Conventional metal mining, in which minerals are physically extracted from the subsurface and then processed to recover target metals (which often make up only a small fraction of the total mass) is
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rate). Additional project costs will also be provided. Overview The North East has a proud coal mining heritage, with hundreds of abandoned and flooded mine seams. Current groundwater levels
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evolve under and after mining. These observations will be complemented by physical experiments in the Ven Te Chow Hydrosystems Laboratory at UIUC, using 3D-printed riverbed models derived from field data
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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facilities. A popular method of doing so is to create vast battery storage facilities which require incredible sums of upfront capital and rely on lithium, one of (if not) the most intensively mined resources
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PhD Studentship - EASTBIO - Functional Genomics of Host Determinants in Viral Entry and Transmission
integrative data mining of CRISPR screens and genetic association datasets. Full training will be provided through project work and workshops. Working in a collaborative environment with multiple research
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distinct imaging methods to yield a novel imaging method that combines the benefits of both. The aim of this project will be to develop a novel method for fusing the data obtained by x-ray imaging and MIS
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of first-principles methods (strongly correlated systems), Monte Carlo, Landau-Lifshitz-Gilbert equation techniques, and data-driven approaches (database mining, machine learning). Access to computational