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will also address structural powerplant design and integration, refining computational methods to use high-fidelity aerodynamic data for accurate load prediction and system-level design decisions. About
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positive impact through cross-disciplinary interactions. Actively seeking new funding and creating opportunity for spinouts. Working towards real-world outcomes. Integrating large-scale data, AI, and
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for spinouts. Working towards real-world outcomes. Integrating large-scale data, AI, and genetics into research initiatives. You will have a PhD in biomedical science or a related field, postdoctoral research
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and a good team member. For further information about this position, and to apply, visit http://jobs.sgul.ac.uk . We welcome and encourage applications from underrepresented groups, especially from
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the research will be to synthesise the data from various engine and aircraft models to enable an evaluation of the coupled system. In this context, this post will also focus on developing the exhaust design tool