681 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" positions at University of Sheffield
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analytical mindset, capable of driving continuous improvement, change and operational excellence, is essential. For further information, you can view the candidate brochure here: Uni of Sheffield – Head of
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positions in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics , in a world-class research environment
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, losing information in the process. We aim to develop a framework allowing the spatial structure to be used in the ensemble itself, which would make better use of available information and allow spatially
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to infer polarity from experimental data. • Investigating how actin polarity influences cellular functions. Overall, this project will provide fundamental biophysical insights into how the nanoscale
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probes. They act like quantum thermometers and stress gauges, allowing us to measure things like: Local density, near by molecular enviroment and PH. Using an advanced AI data processing pipline we can
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the resulting composites that can ultimately be used by designers. The outcomes of this project will provide the much-needed characterisation, quantified experimental data and validated numerical models required
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engineers to monitor and maintain shell structures in real time. By combining data from sensors with advanced computer models, a digital twin can continuously track how a shell responds to changing loads and
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, images, and even video. Downloading is a click away. However, the same openness brings significant risks. GenAI models can act as “containers” for information, including copyrighted books, unsafe
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for inflammation, oxidative stress, and immune response perturbation. 4. To integrate the engineering source data (wear rate, particle metrics) with the toxicological dose-response curves to create a predictive
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be useful for making predictions; however, these predictions will be dependent on specific factors associated with the training data. This issue limits the ability to generalise and transfer