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lack suitable hardware for data collection in the wild, but our ability to process and understand the resulting data suffers from major constraints. Here, advances in AI will be crucial, for instance by
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, please select ‘Loughborough’ and select Programme ‘Mechanical and Manufacturing Engineering’. Please quote the advertised reference number * CSC-26-WS * in your application under the ‘Finance’ section
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chain. Currently this possibility is hindered by the lack of automated end-to-end modelling workflows for risk and sensitivity assessment. Although many steps in the process can be currently automated
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application process, please consult our PhD programme webpage or apply directly at this link . Before applying, you should carefully review the research carried out by our faculty and contact potential
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– the Doctoral Landscape Award (DLA) and the Doctoral Focal Award (DFA) – as part of its Future Doctoral Programme. The new awards aim to provide more flexible, inclusive, and strategically aligned funding across
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creating virtual replicas of physical homes, the project aims to monitor and optimize energy usage, personalize living environments, and strengthen security measures. This work requires a comprehensive
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for a Programme , create your account and use the link sent by email to start the application process. Please select the PhD in Archaeology. *Important notes* 1) Please quote the reference ‘DRC25-137’ in
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overall, 6 in each category). Acceptable first degree: Computer Science/Physics/Maths or other numerate discipline. Mode of Study Full-time Start Date 1 October 2026 Funding Information ARIES studentships
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The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme
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. Candidate Requirements A strong academic background in Engineering, Mathematics, Physics, Architecture or Computer Science. An undergraduate degree with at least 2.1 in one of the above subjects is essential