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, primarily focusing on MRI. In your research you will train models to learn a distribution of normal cardiac anatomy and function (including motion) from healthy subjects. By establishing an understanding
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wind energy expansion (Snyder and Kaiser, 2009), and the equitable distribution of economic benefits among marine stakeholders and opinion-holders (Willis-Norton et al., 2024). Understanding
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distribution of economic benefits among marine stakeholders and opinion-holders (Willis-Norton et al., 2024). Understanding these dynamics is critical for informing policy decisions that mitigate negative
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topological context and data access patterns. A successful candidate will work in the Distributed Systems and Concurrency group at University of Surrey and benefit from close collaboration with Neo4j, a world
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interactions/contacts. Monitoring and analysing contact pressure, surface contact distribution, and friction and movement patterns for personalised adjustments to equipment (and training). Based in both
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used in producing fine chemicals, including pharmaceuticals. By leveraging state-of-the-art advances in computer vision and machine learning, we aim to manipulate Particle Size and Shape Distribution
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. Traditional analytical and numerical approaches struggle to capture the nonlinear interactions between the outer steel tube, sandwiched concrete, and inner steel tube, necessitating advanced computational
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refine simulation tools and machine learning solutions to advance stroke treatment. This involves improving existing computational models that simulate cerebral blood flow, oxygen distribution, and brain
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river attributes and landscape conditions that influence their behaviour (e.g. stream power; sediment flux; valley confinement); and (2) distribution and type of physical modifications. This PhD will aim
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critical to act on those hotspots for energy demand and/or GHG emissions. One of these potential areas of action is the food cold chain – the manufacture and distribution of frozen, refrigerated and chilled