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will deliver a novel diagnostic platform capable of detecting respiratory infections and resistance markers at the point of care with unprecedented sensitivity and speed. This technology could
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and optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics
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learning/AI, geoarchaeology, environmental science, or computer science would be beneficial, but is not required, depending on equivalent experience. Funding notes: This project is funded by the European
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Civil Engineering PhD Research Project Directly Funded UK Students Prof R Dwyer-Joyce Application Deadline: 30 December 2025 Details Novel Sealing for High-Pressure H2 and Low-Carbon Storage Technologies
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the Computational Foundry, a world-class centre for computational research, part-funded by the European Regional Development Fund through Welsh Government. The brand-new building of the Computational Foundry provides
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marine ecosystem management in the changing climate. Entry requirements: Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Computer Science, Engineering, or
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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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Number of Positions: 1 Eligibility: UK Only Funding: School of Computer Science Scholarship, in support of the EPSRC Grant: Mixed precision in Krylov Methods, providing the award of full academic
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. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply For information on how to apply
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, including but not limited to computer science, data science, engineering or mathematics, who are passionate about machine learning and AI research. Strong analytical thinking, problem-solving skills, and the