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advance machine learning and natural language processing (NLP) methods to analyse complex information manipulation, legal responses, and opposition actors across critical domains such as election integrity
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to develop automated AI-based workflows for video processing: a key bottleneck in upscaling video-based approaches. As a collaborative project between the University of Plymouth and Natural England
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. This role is to provide temporary cover until 30 September 2027. Educated to a PhD level, the role holder will have core technical expertise in Computational Linguistics and Natural Language Processing
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directly with speaker communities to ensure the technology is genuinely useful to them. You will gain deep expertise in machine learning and natural language processing, access to high-performance computing
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support the technical delivery of an automated natural language processing pipeline for extracting statistical metrics and study design features from full texts. This includes developing and maintaining
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, working closely with the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. You will develop and evaluate natural language processing and machine-learning methods (including large language
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) is a vibrant faculty based in the heart of London with a long tradition of world-leading research and teaching in physics
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Job id: 158046. Salary: £45,031 - £52,514 per annum including London Weighting Allowance. Posted: 16 September 2026. Closing date: 22 September 2026. Business unit: Natural, Mathematical
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and natural language processing to identify and monitor emerging risks to higher education institutions. This includes analysing legislation, policy documents and political discourse to track
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of natural earthquakes and numerical modelling to develop new insights into earthquake nucleation. The successful PDRA applicant will lead and contribute to laboratory experiments that investigate earthquake