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Field
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. The project is co-sponsored by Spirent Communications, a world leader in navigation and testing technology. Spirent will provide advanced simulation tools, expert support, and industry placements to help make
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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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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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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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. 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