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supervisory team from La Trobe University and Sheffield Hallam University, gaining expertise in data-driven performance analysis, statistical modelling and machine learning. This research will enhance our
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are a category of food additives that are found readily available in the food supply. In animal models, emulsifiers cause inflammation in the gut, similar to that seen in Crohn’s disease. This project
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for dementia and sector-spanning models of care to improve quality of care and quality of life. Dr Ayton has a strong track record in health and social care research and methodological approaches including
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research
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of English proficiency may be required. The project will provide numerous research and development opportunities including: Development of phenomenological and CFD models for aeration systems of sewage
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, the internal workings of deep neural networks remain largely mysterious, posing a significant challenge to the interpretability, reliability, and further advancement of these models. This project seeks deep
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My research interests focus on the stars - primarily their structure, evolution and nucleosynthesis. This can involve modelling of mixing in stars, or effects of changing nuclear burning rates
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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop
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I supervise a wide range of projects stellar astronomy. They include modelling stars in 1D or 3D, deciphering the origin of the elements (stellar nucleosynthesis), and observing using optical
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interesting implications for standard models of hierarchical black hole growth. Aims This project aims to explore the optical/IR properties of the most extreme IFRSs, and confirm their redshift range