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This is a fully funded PhD (fees and bursary) in experimental icing research. Fundamental understanding of droplet impact dynamics is integral to icing. The overall aim of this PhD is to use optical
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, adaptive control strategies, and hybrid energy storage solutions to address key challenges in self-powered systems under dynamic environmental conditions by: Develop machine learning or heuristic-based
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. The focus will be on the development and analysis of a novel class of within-host models of respiratory viruses dynamics. The models will address the challenges of model parametrisation given the available
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Research theme: Analysis, geometry and dynamical systems How to apply: uom.link/pgr-apply-2425 No. of positions: 1 This 3.5 year PhD project is fully funded for home students; the successful
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science and interest in fluid dynamics. Prior knowledge about viscoelastic flows and/or porous media is beneficial but not required. Applicants should have, or expect to achieve, at least a 2.1 honours
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candidate will conduct fundamental research aimed at understanding cell shape dynamics and the cross -talk between cell shape and cell state during epithelial-to-mesenchymal transition (EMT). The aim
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Solubility, and dissolution dynamics, are key physico-chemical properties of active ingredient solid forms and are required across the chemical industry, however their determination remains a
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There is a great deal of interest in the nature of QCD, the strong interaction force of particle physics. It has a fascinating personality - in all but the most exotic situations, it confines quarks
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Fully-funded PhD Studentship: Adaptive Mesh Refinement for More Efficient Predictions of Wall Boiling Bubble Dynamics This exciting opportunity is based within the Fluids and Thermal Engineering
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pressure shock waves which induce compressive residual stresses in the structure, thereby improving the surface hardness and the resistance to fatigue cracking and to corrosion. LSP is more effective than