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Start Date: October 1 2025 Introduction: This PhD project in Aero-Thermo-Structural Simulation and Optimization of Mechanical Interfaces in Hypersonic Vehicles will be carried out under the UK
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algorithms, and sensitivity analysis to automate and optimize the mode selection process. The outcome will be a robust, scalable methodology that enhances the performance of ROMs, making them more applicable
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during their PhD studies. Concrete-filled double skin steel tubular (CFDST) sections offer superior structural performance for wind turbine towers due to their enhanced strength, ductility, and material
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Project title: Large ensembles of machine learning forecasts for advanced nonlinear filters in atmospheric data assimilation Supervisors: Sarah L Dance (UoR & NCEO), Eviatar Bach (UoR) & Amos