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. This project is intended to perform numerical studies and develop a methodology for the numerical analysis aimed at the effective damping of resonance regimes in bladed disks of gas-turbine engines using
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analyse the experimental data, developing techniques to extract information about the rotational orientation dependence of the gas-surface reaction, as well as performing numerical simulations to determine
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analysts to develop numerical and laboratory experimental approaches to understand the impact of Arctic sea-ice thickening geoengineering approaches on nutrient and alkalinity cycling. Mode of study Full
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Modern numerical simulation of spray break-up for gas turbine atomisation applications relies heavily upon the use of primary atomisation models, which predict drop size and position based upon
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targets the development of advanced coatings to prevent cell-to-cell propagation during runaway events. It combines experimental studies, numerical modelling, and real-world burner rig testing, culminating
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, robust/distributed control, data-driven identification/control, numerical optimisation. Strong programming skills in at least two of the following: Julia, MATLAB, C/C++, Python. Demonstrated ability
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shift in the world of hardware design. On the one hand, the increasing complexity of deep-learning models demands computers faster and more powerful than ever before. On the other hand, the numerical
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numerical calculation skills and mathematical modelling skills Strong skills in solid state physics and quantum mechanics Experience in theoretical modelling and experimental investigation of optical devices
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sustainable aviation fuel (SAF), and importantly, hydrogen. Plastics are comprised of numerous polymers, thus the products of each vary through chemical recycling processes This project seeks to develop an in
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of monopiles and jackets to depths of 80–100 m. Such solutions for these greater-than-standard depths should provide viable fixed-bottom designs to unlock numerous offshore sites with gigawatts of wind energy