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coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
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, covering all cardiac conditions. This makes them unsuitable for identifying rare or complex cases, where annotations are scarce or unreliable. Recently developed unsupervised learning methods allow
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of waterlogged conditions, peatlands are projected to be particularly impacted by future climate change, through changes in both temperature and precipitation. Bioclimatic envelope models predict significant loss
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will also include evaluating and validating existing numerical models, ensuring their reliability in predicting real-world conditions. This project is supported by brand-new laboratory facilities
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objectives and activities include: • Developing a CFD model to analyse arc physics and establish correlations between transferred energy distribution and deposition conditions (including WA-DED process
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The project: We invite applications for a fully funded PhD studentship in the Solid Mechanics Group at the University of Bristol to work on the predictive modeling of hydrogen-induced damage in
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of traffic conditions (inflow turbulence, orientation (yaw angle) of the incident flow with respect to a passenger car) and road conditions (roughness, boundary layer, rolling road) on the wake dynamics
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condition (which is often observed at an early stage following minor skin wounds) — is also far more common in Black populations. Both conditions involve dysregulated collagen production and aberrant TGF-β1
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and defects, with unprecedented detail. Through this work, you will uncover the fundamental links between synthesis conditions, microstructure, and macroscopic properties of layered materials. Your
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fine-scale, fully distributed hydrological modelling, with the ultimate goal of optimising NFM strategies in moorland, to improve flood resilience for rural, upland communities. The studentship will be