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that can support and enhance intelligence analysis for national security and defence. The ‘AiTASHA’ project (AI Intelligence Triage & Acquisition Support for Human-centred Analysis) aims to improve the speed
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We are seeking an enthusiastic and experienced senior research fellow to work on a £1m EPSRC-funded project to develop human-centred AI methods that can support and enhance intelligence analysis
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-learning tool based on analysis of qualitative research on user needs, user feedback and a review of existing educational material and approaches that have been successful in similar contexts. The role will
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in aeroacoustics, with a strong emphasis on data analysis and a deep understanding of aeroacoustics fundamentals. Demonstrate excellent communication skills, both written and verbal, as evidenced by
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microbiology. This will include performing fertilisation experiments, measuring plant traits, including above-ground and below-ground, and the collection and analysis of plant and soil microbiomes. The role
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sequencing data analysis, variant interpretation, and bioinformatics workflows used in research and diagnostic settings. Strong programming skills (e.g., R, Python, Perl, C/C++, Bash) and confidence working
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, including above-ground and below-ground, and the collection and analysis of plant and soil microbiomes. The role involves extended fieldwork in Mexico and close collaboration with UK- and Mexico-based
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. Demonstrate an emerging publication record in key debates on emotionality, ressentiment, grievance politics, and populism. Possess expertise in the design, implementation, and analysis of experiments and the
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-design, life cycle assessment and costing, and an interest in e-wastes is highly desirable, along with an aptitude for problem solving and data analysis that relate to this exciting research program. To be
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emerging multi-omic measurements to build and test machine-learning-based multimodal risk prediction tools. A key element of the role will be to explore how different data types and AI-derived features can