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This project addresses a fundamental question in digital twin development for fusion energy systems: the relative roles and limitations of physics-based models, experimental data, and AI-driven
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to participate in this collaborative research programme. They will be expected to contribute research to central datasets, and will be encouraged and supported to develop high-profile publications at the cutting
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Development, National Institute of Economic Research, and Institute for Employment Studies. We offer full-time (4 years) and part-time (8 years) PhD programmes. Applicants should have an MSc in Economics or a
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structures may change with time, where the change can depend on latent factors or variables. These projects will focus on developing a comprehensive Bayesian learning framework for this broad class of problems
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-released substances regulate platelet signalling pathways and how this can be targeted for the development of better therapies. This project will equip the student with skills in a wide range of techniques
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An exciting opportunity is available for a motivated and talented PhD candidate to develop a transformative technology for managing the UK’s nuclear graphite waste. Funded by the Nuclear
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seeking a doctoral researcher possessing a curious and self-driven mindset to develop and apply new simulation protocols to push towards realistic and dynamic modeling of AS-ALD processes. Recently, we have
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, Humanities and Social Sciences. The LCHS will support cohorts of interdisciplinary postdoctoral and doctoral researchers alongside Leicester’s existing staff and Centre collaborators to develop new
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AstraZeneca and Newcastle University , will develop predictive models for pharmaceutical manufacturing and provide access to industrial data and high-performance computing facilities. You will gain expertise
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, the emerging results and discussions with the industrial partner. The overall goal is to develop a scientifically robust framework for predicting the performance of recycled HDPE in high-recycled-content bottle