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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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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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Sand is the world’s most used resource after water and intensive extraction is reshaping major rivers and deltas. This PhD will quantify how sand mining alters globally relevant river channels
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parallel expansion in mining to meet this demand is expected. The environmental, economic and social impacts of this global expansion are significant and need to be assessed, so that we do not trade one
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30 Oct 2025 Job Information Organisation/Company The University of Edinburgh Department School of Engineering Research Field Engineering » Civil engineering Engineering » Geological engineering
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2 Fully Funded PhD Candidate positions in GENIUS MSCA Doctoral Network hosted at University of Derby
30 Oct 2025 Job Information Organisation/Company University of Derby Research Field Engineering » Civil engineering Engineering » Geological engineering Researcher Profile First Stage Researcher (R1
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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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