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this role, you will contribute to TOZCA’s whole‑aircraft noise prediction capability, ensuring acoustics are robustly represented within the project’s wider modelling framework. You will develop, apply and
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will be part of the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to understand how climate will
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component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in
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deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications
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. The candidate will use discrete adjoint libraries in OpenFOAM to improve turbulence modelling of environmental flows. There will also be opportunities to get involved in other projects in experimental fluid
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decision modelling This is a full-time fixed-term position until 31 March 2027, and subject to funding an extension is anticipated. Applications for part-time will be considered, please indicate this in your