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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
to cutting-edge facilities including High-velocity impact testing, Advanced composite manufacturing labs, X-ray computed tomography and High-performance computing resources for AI model training This project
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plants. These advantages include being more compact, lower costs, using single-phase fluid rather than two-phase fluid used in steam turbines, higher cycle efficiency when using low temperature heat
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production chains, starting from raw materials to high-end products made from these steels. One of the paths to reduce CO2 emissions in steelmaking is the use of scrap. This will inevitably entail significant
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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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extensive training on system- and network-level design and operation of next-generation high-capacity optical networks while embedded in a vibrant industrial environment. The research and development work
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methods and design strategies to optimize polarization purity in active array antennas. By addressing these challenges, the candidate will contribute to the next generation of high-performance, active
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conversion of biomass into high-value platform chemicals and bio-slurry fuels. The project builds on our patented and published bench-scale work, aiming to scale up the process to continuous operation using
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antennas, where wide-angle beam steering of a narrow high-gain beam is realized by using a large number of active elements, (e.g. 1000-5000 active channels). This provides a very good performance but is on
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mechanistic study of high corrosion susceptibility of additively manufactured biodegradable Mg and Zn alloys. Host: Helmholtz-Zentrum Hereon, Geesthacht, Germany, with PhD degree awarded by Kiel
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services and children’s social care. Children and young people (CYP) on Child in Need (CiN) plans or Child Protection (CP) orders are amongst the most vulnerable in the country and from families with high