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NASA, Airbus, and Rolls-Royce – to develop cutting-edge, data-enhanced numerical methods that will transform how future aircraft are conceived and certified. You will work within the PinhoLab (led by
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dynamics and, if appropriate, field work (Nicholas, Aalto); numerical modelling (Nicholas, Hawker); machine learning (Hawker, Aalto); and analysis of remote sensing (Aalto) and population datasets (Hawker
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Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity
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have gained knowledge and experience in numerical analysis, with a particular focus on linear algebra, and in high performance computing. There will be opportunities to present research at national and
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open to Home Students. Background: Detecting deception is an important but challenging task for numerous organizations worldwide including in the UK (e.g., Probation Service, Police). Whilst there are
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to the space-based LISA observatory. The research will advance post-Newtonian waveform modelling through improved analytical techniques, incorporate strong-field information from numerical relativity simulations
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literature review on flares and prodromal symptoms; (2) Complete analysis of survey data from >3000 patients to investigate patterns and progressions of flare symptoms; (3) Co-design (with patients and
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of barrier winds off East Greenland using new wintertime observations from a research cruise. Carry out numerical weather prediction simulations of barrier wind case studies with the observed sea-ice
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form of energy–e.g. electrical, magnetic, acoustic, or chemical–into mechanical motion. These swimmers are expanding the frontiers of micro-engineering and can be used in tasks such as chemical analysis
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availability, sea ice, and mixed layer depth influence community size spectra, vertical particle flux and carbon export. This will be supported by sediment trap data and elemental analysis. A key aim is to