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We are looking for an enthusiastic PhD student who will undertake original research at Nottingham University Business School. This PhD will contribute to improving the environmental sustainability
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
that not only simulate, but also reason, adapt, and provide explainable insights across safety-critical environments. Key research objectives include: Extract structured engineering knowledge from
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for Catholic Studies: https://www.dur.ac.uk/research/institutes-and-centres/catholic-studies/research/boundary-breaking-/conversations-culture-and-communion/ Research Environment: The Centre for Catholic Studies
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the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. Poor air quality is the largest environmental risk to public health, and the World Health
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area provide an excellent working and living environment for staff and students alike. Harper Adams is consistently positioned highly in a range of national ratings, performance measures and league
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area provide an excellent working and living environment for staff and students alike. Harper Adams is consistently positioned highly in a range of national ratings, performance measures and league
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passengers luxurious transportation. An important aspect of this is the interior environment of the vehicle, particularly the ways in which vehicle occupants experience tranquillity, serenity and calm. Many
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
for engineers. The aim is to move beyond data collection and develop intelligent methods that enable digital environments to understand and reason about real-world problems in safety-critical settings. To explore
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paper production, benefiting both industry and the environment. Most of the work will be performed within the School of Applied Sciences, University of Huddersfield, however, this is an industrially
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resource-constrained environments, and it is important to investigate whether features derived from different network layers can be effectively combined. Machine Learning Model Development & Optimization