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Please open the attached 'Job Description' document below to view the full information for this post, including the responsibilities of the role and a more detailed insight into the work of the Future
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have collected rich data for understanding the preferences of citizens regarding which policies their governments ought to enact, as well as for investigating where these preferences do and do not exist
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assurance/insurance frameworks, including algorithmic insurance contracts, parametric insurance structures, and data-driven risk quantification methods (e.g., conformal prediction and inverse conformal
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suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa
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and interpret research findings and results from existing data Collect pilot data and demonstrate proof of concept for new methods Main Duties The responsibilities may include some but not all
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will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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to groundbreaking studies in Australia and Lao PDR, developing your expertise in life cycle assessment, soil science, and big data analytics. This role offers you the chance to directly impact global food security
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Specification for full details of this role. Further information For further information please contact Hugo Lambert, e-mail f.h.lambert@exeter.ac.uk or telephone (01392) 724020.
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of data on different aetiological subtypes of TIA and stroke study subjects as part of the Oxford Vascular Study (OxVasc), a population-based cohort study of all acute vascular events in all arterial