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or related discipline to develop their data analysis and modelling skills and experience, applied to the field of health economics. We wish to encourage people who have strong quantitative skills who may be
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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Overview Autonomous driving systems (ADS) are rapidly advancing, but ensuring their safety and reliability remains a critical challenge. Simulation-based testing offers a promising approach to
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offers the chance to work with zebrafish disease models, explore new therapeutic targets, and gain invaluable experience in experimental techniques such as CRISPR gene editing, in vivo imaging, and
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Governance research group with responsibility for the provision of research support for the Agile Initiative Sprint entitled: ‘How can we deliver effective and equitable place-based environmental governance
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Governance research group with responsibility for the provision of research support for the Agile Initiative Sprint entitled: ‘How can we deliver effective and equitable place-based environmental governance
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to field test emerging AI agent-based technology and push forward projects of national significance. You will learn first-hand about the current state of drone-based surveillance, tracking and distributed
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. Maintain and update specialist knowledge by critically appraising relevant literature in urban resilience, infrastructure systems, or data-driven modeling. Actively participate within the research group
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Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), based at the Botnar Research Centre, Oxford. The NDORMS Pharmaco- and Device epidemiology research group is involved
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microbes chemically/physiologically. Computational work could include genomic analyses, machine learning, and simple mathematical modeling approaches. Responsibilities Responsibilities include the following