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Field
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes
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to ensuring safe, reliable, and high-performance communications. The development of 6G based AI networks with integrated TN and NTN infrastructures provides new opportunities for UAV tracking
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number RS898 Is the Job related to staff position within a Research Infrastructure? No Offer Description Infrared
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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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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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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
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. Candidates must have proven ability to work with large datasets, coding with Python/Fortran/C++ and ideally experience with high-performance computing. Applicants from an industry background are encouraged