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safety challenges. The foremost issue lies in storage, hydrogen’s low volumetric energy density requires it to be stored either as a compressed gas at extremely high pressures or as a cryogenic liquid at
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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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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industries: in-car systems, medical devices, phones, sensor networks, condition monitoring systems, high-performance compute, and high-frequency trading. This CDT develops researchers with expertise across
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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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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