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, migration, and accumulation of precipitated particles in CO2–water–rock systems using computational fluid dynamics (CFD) coupled with discrete element method (DEM). The research outcomes will provide critical
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better computer simulations of the brain. The lab will leverage these advancements to disentangle and model behaviourally-relevant visual and semantic dimensions of visual cognition in the human brain
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Institution: University of Roehampton (in partnership with LSE) Location: London (campus and partner-organisations) Funding: Full studentships (tuition + stipend) Overview The CRICA programme is a
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to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as your Personal statement, and upload this with your application. Applications which do not include
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on this programme. How To Apply Please read and complete this document as your Personal statement, and upload this with your application. Applications which do not include this document will not be
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of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How
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partners. They will develop advanced skills in experimental hydrodynamics, materials characterisation and computational simulation – highly sought after in the UK’s growing offshore energy sector
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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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. Real-world application will include designing and evaluating a spatial training programme for engineering students. Uniquely, across all studies you will examine how individual differences moderate
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim