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                , Nguyean et al. 2022). However, accurately predicting PB performance – particularly complex flow patterns within the structure and resulting inundation – requires advanced modelling techniques. This research 
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                PhD studentship: Bioprinted 3D In Vitro Cardiac Models Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will 
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                on projections from a single climate model, narrowing the range of possible futures considered. The use of change factors to perturb weather generators, which fails to capture the drought risk from increased 
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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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                PhD studentship: Predictive Modelling of Powder Blending in Continuous Direct Compression for Pharmaceutical Tablets Award Summary 100% fees covered, and a minimum tax-free annual living allowance 
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                vegetation monitoring, and potentially numerical modelling. The project is a close collaboration with its sponsor, the Environment Agency, meaning your findings will inform future levee design, inspection, and 
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                bioprinting, materials characterisation, and computational modelling to replicate and quantify biomechanical conditions. Number Of Awards One Start Date January or April 2026 Award Duration 4 Years Application 
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                vegetation communities to assess the distribution of vascular and non-vascular plants. Modelling will enable the simulation of the hydrological impacts of the restoration under both current and projected 
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                -focused, will directly support advanced flood risk modelling, hydrological predictions, and adaptation planning. As the student, you will gain expertise in climate extremes, data science, and hydrology 
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                superficial deposits, is essential. These datasets will inform hydrogeological models to identify groundwater recharge, routing and discharge, and where contaminants may be concentrated in the subsurface