270 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DESY" positions at University of Sheffield
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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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mental illness. The archive is housed by Special Collections and more information on the archive is available here. The projects will start in September 2026. Applicants are invited to apply for one
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of Carl Jung who championed creativity and the arts as important aids for recovery from mental illness. The archive is housed by Special Collections and more information on the archive is available here
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of Carl Jung who championed creativity and the arts as important aids for recovery from mental illness. The archive is housed by Special Collections and more information on the archive is available here
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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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of Carl Jung who championed creativity and the arts as important aids for recovery from mental illness. The archive is housed by Special Collections and more information on the archive is available here
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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