49 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" positions at University of Exeter
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the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises: An stipend for 3.5 years (currently £20,780 p.a. for 2026/27) in line with UK Research
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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The University of Exeter's St Luke’s Swim School are looking for passionate, enthusiastic and organised swimming teachers to join our Swim England Learn to Swim programme, delivered at our indoor
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an interest in computer science and/or computational approaches to engineering applied to this important maritime topic and will be willing to travel to partners within the UK (e.g. Newcastle and Bath
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PhD Studentship: Subcortical brain development and disorders, funded PhD at the University of Exeter
Decoding the precise programme regulating neurodevelopment has been crucial to our understanding of brain disorders. A central question is how the brain generates its remarkable diversity of cell
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the central challenge hindering this vision: the fundamental incompatibility between text-native LLMs and the operational reality of computer networks. Directly applying LLMs is impeded by three core technical