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from working closely with its team of post-docs, associated researchers and partners (that range from Microsoft Research to the NHS). For this project you should have a strong interest in AI/Machine
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
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at a time. Understanding how multiple exposures interact, and how they affect different parts of the respiratory system, is therefore critical for building a more accurate picture of their impact on
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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more efficient by identification of the critical processes and parameters. In this project, we aim to develop mathematical and computational models to predict the spatial distribution of concentrations