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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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distinct imaging methods to yield a novel imaging method that combines the benefits of both. The aim of this project will be to develop a novel method for fusing the data obtained by x-ray imaging and MIS
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discipline Strong quantitative and analytical skills Ability to work independently and manage time effectively Good written and verbal communication skills Motivation to address sustainability and climate
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nanomaterials synthesis and characterization is desirable. Interest in energy storage technologies and machine learning applications in materials science. Strong analytical and problem-solving skills, and the
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as the advert will be removed once the position has been filled. As AI systems scale, privacy, security, and trustworthiness emerge as challenges. For instance, private data may be leaked during model
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change on our health Advancing discovery through interdisciplinary life sciences research Empowering our research through advanced data science, digital technologies and AI Tackling the causes and
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are eligible to apply. The successful candidate will receive a tax free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. The start date is 1st October 2025. Visualising data
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stresses. Based on the experimental data, a semi-empirical model to be developed to assess insulation degradation and identify failure signatures that can inform future predictive asset management strategies