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, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs
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vibrant, collaborative environment, with cross-disciplinary support and professional development. Key Details Application deadline: 30 July 2025 Start date: 29 September 2025 Duration: 4 years full-time
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John Crane Ltd, gaining practical industry experience at their Research Centre in Manchester and Manufacturing Site in Slough. Cutting-Edge Research Environment: Access state-of-the-art facilities and
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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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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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The University of Liverpool is seeking to appoint 1-2 motivated and enthusiastic postdocs to conduct research on making Generative AI (GenAI) more robust. You will enjoy a vibrant environment at
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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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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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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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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