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models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify biofouling impacts on flow-induced vibration phenomena, structural
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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
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access, how governance structures shape policy outcomes, and how future climate conditions will affect resilience. Mixed-methods approach will be adopted, including hydrological and infrastructure
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resilience. Mixed-methods approach will be adopted, including hydrological and infrastructure assessments, analysis of transboundary agreements, and a political economy review of decision-making. Governance
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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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industrial practice relies heavily on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete
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continuous operations at lab scale. In Situ Product Recovery (ISPR) evaluation: Test ISPR methods to boost productivity and energy efficiency. Bioprocess modelling: Employ simulation, techno-economic analysis
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tissue, radiologists insert a localisation device (RFID, magnetic seed) into the tumour pre-operatively. Wireless methods hold promise however, due to the scale of current RFID tags, delivery is
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on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) model
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. You’ll gain experience in spatial analysis, fieldwork, soil and vegetation monitoring, and potentially numerical modelling. The project is a close collaboration with its sponsor, the Environment Agency