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This studentship is fully-funded by the Nuclear Threat Reduction network. The successful applicant will be welcomed into our world-leading research programme investigating key nuclear reactions
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to investigate the mechanisms of migration of these radioisotopes. All students funded through the RAPTOR DFA network will be required to undertake 60 credits of training modules as part of the PhD, which will be
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Offshore wind infrastructure underpins the UK’s Net Zero transition but faces extreme operational challenges. Wind turbines must withstand harsh marine environments where multi-hazard loading from
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Environment This studentship is based at the Centre for Vision, Speech and Signal Processing (CVSSP). CVSSP is: The largest UK research centre in its field Ranked 1st in the UK for Computer Vision research
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the average values of the widths and spacings between two adjacent resonances. This energy range is called the “unresolved resonance region” (URR). Current computational methods treat the resonances in the URR
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to implement for the entire network. To address these challenges, the project aims to develop a novel, population-based indirect damage identification system, leveraging data collected on instrumented railway