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Field
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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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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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responsible for the delivery of high-calibre farming systems research, based on a network of already established field trials to evaluate how crop rotation/sequence, time of sowing and nitrogen management
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optimisation techniques and AI-based models to support decision-making in microgrid design and operation. Working in collaboration with a leading global mission critical firm of engineers, this project offers
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of Law, and the University of North Texas Health Science Center at Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North
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publications from IFAS faculty and outputs as a basis for a cited references analysis, starting with citing works and working backwards to identify publishing models used and explore any correlation between