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PhD Studentship: Development of a novel analytical platform combining laser-based techniques and multivariate data analysis for the characterisation of radioactive waste disposal materials The aim
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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 wind, waves, currents, and seismic activities interact with corrosive conditions, accelerating...
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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
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/TEM and XRD. In Physics all the requirement equipment for radiation-based characterisation of the materials is available, including X-ray luminescence and radioisotope gamma irradiation
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to the requirements of the funding organisation, only UK-based students can be selected. The candidate must meet the minimum requirements for our PhD programme. Applications will be considered on a rolling base. How to
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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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. This project will focus on developing the quantum control building blocks for implementing low-overhead quantum error correction on trapped ions-based quantum processors. Quantum control techniques can open