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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
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An Information Theoretic Approach to the Smart Grid
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The College actively supports equality, diversity and inclusion and encourages applications from all sections of society. Please visit our Data Protection Statement for Job Applicants for
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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Role Summary The postholder will conduct quantitative fault seal analysis using seismic interpretation and petrophysical data to assess fault leakage potential in CCS candidate reservoirs. This work
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Physics-Informed Data Assimilation in Wall-Bounded Turbulence
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on the university's website, accessed by the 'Apply' button) for full details of this role. Further information For further information, please contact Haydn Wall, email h.j.wall@exeter.ac.uk , or telephone (01392
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from the establishment fund for Prof Gary Williamson, who recently joined Queen’s from Australia. The position is to generate data in the area of polyphenols and health and publish high quality papers