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that can help engineers understand electromagnetic compatibility issues in railway 25kV AC overhead lines. This will include developing models, mathematical techniques and software tools that can predict how
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, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine Learning and/or Crystallography would be particularly suited for this project. This project will
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project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and machine learning
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of their maintenance. The project is to develop the mathematical models to predict (i) the frequency of derailments as the condition of the railway wears and (ii) the costs of the maintenance required to keep the
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strong academic record who wish to develop a career in primary care research. This award is offered by the NIHR School for Primary Care Research at the University of Nottingham, and offers project-specific
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the expected costs of their maintenance. The project is to develop the mathematical models to predict (i) the frequency of derailments as the condition of the railway wears and (ii) the costs
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a probabilistic framework. The goal is to develop methods to significantly change how we care for patients with liver disease by identifying whether patients would benefit from specialist care, which
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of sustainable biotechnology. What You’ll Do Design and develop digital twins tailored to simulate biotechnological systems for waste treatment and high-value chemical production. Integrate advanced hybrid
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to develop the knowledge & understanding of the underlying engineering science and enable new products, processes, and tools. MAS works closely with industrial partners and other research organisations
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of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme offers fully funded, four-year PhD studentships which