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Field
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of developing a computational model to simulate hydro-sedimentary dynamics and morphology between restored patches to explore conditions favourable for restoration. Validated with data on vegetation cover and
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scenarios. By enabling more realistic and dynamic adversarial simulations this project will support the creation of more effective cybersecurity testing, consequently strengthening organisational resilience
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important topological structures thought to contain the essence of confinement. This project will use a first-principles approach in which large-scale simulations of QCD are performed on a discretised
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molecular analyses to reveal how wood pasture systems influence trophic interactions. The student will gain significant expertise in field sampling, species identification and advanced molecular analysis
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. Analysing the biotic community and abiotic factors using a variety of laboratory-based techniques including molecular analyses to reveal the impact of grassland restoration on soil. The student will gain
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. This collaboration between Cranfield University and Magdrive will study plume effects of Magdrive's dynamic pulsed plasma thruster on relevant targets. Simulation of plasma expansion and condensation in the space
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molecular biology. Relevant post-doctoral experience is desirable. High quality peer-reviewed publications and a keen interest in translational regulation are essential. If you have an excellent background in
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technical expertise in Computational Fluid Dynamics (CFD), simulation methods (including RANS, DNS/ LES), and experimental techniques such as wind tunnel testing and 3D printing. The project will also improve
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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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of a DG method for solving the hyperbolic BBGK equation has not yet been fully exploited by the rarefied gas dynamics community which continues to rely heavily on the costly direct simulation Monte Carlo