272 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab"-"IFM" positions at University of Sheffield
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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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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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, 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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encouraged to contact the project supervisors to discuss your interest in and suitability for the project prior to submitting your application. Please refer to the EPSRC DLA webpage for detailed information
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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