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Field
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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, Aviation Weather Center, and ADS-B providers. This harmonised dataset will seamlessly connect real-time flight trajectories, dynamic route networks, and high-resolution weather information. Predictive
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architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions
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turbulent flows, as their mean strain is varied from high to low levels, and will document the failure of classical theories to describe intermediate strain regimes. The produced data-set will be utilized
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(including the Composites Suite, the new high-temperature polymer processing equipment, the new electron microscopy unit, the aerial robotic flying arena) and to develop skills in polymer (nano)composites
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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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programs. The student will join a well-supported team of chemists and biochemists (Master’s and PhD students, and postdocs) who are well-placed to provide a supportive and ambitious peer group. The student
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, possibly by extending it to the relevant derived categories. The successful applicant will join the very active and supportive ANTLR group at UEA (currently comprising 7 faculty, 5 postdocs and 8 PhD
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change The opportunity to interact with experts from Imperial, the UK, and Europe in both aerospace engineering and atmospheric science Access to a state-of-the-art, high performance computing cluster You