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. Simulations are suitable to characterise processes in healthy and diseased individuals including stroke patients. Machine learning methods might be considered to accelerate simulations. The project provides a
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leader in hydrogen-powered aviation technologies. Hydrogen-based aviation offers a revolutionary opportunity to significantly reduce aviation’s carbon footprint, aligning with global commitments to reach
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composites (year 2) -Composite damage analysis using, micro-tomography scan, Thermography, C-scan Scanning Electron Microscopy analysis (year 3) - Exploration of high/hyper-velocity impact resistant composites
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consumption across a wide range of technologies, from aviation to renewable energy systems. The ability to reduce drag while maintaining or enhancing lift can lead to significant fuel savings, lower emissions
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of big data might not be possible to be captured by traditional modelling approaches. This implies that mathematical modelling of such data is infeasible. The data-driven modelling approach could resolve