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evolution. Where Covid-19 has resulted in substantial disruption to your work or research outputs, please explain this by providing an additional paragraph in your supporting statement. The University
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ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment
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to the development of digital enablers for authentic real-time performance data and responsible decision-making, by putting user needs at the centre. The successful candidate is expected to: shape and engage in
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profile development, combining method development, application to real-world problems, and collaboration with experimental groups. Your project will complement ongoing work by other members in the group
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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse
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government agencies (e.g. Defra, Food Standards Agency), industry bodies and F&V producers. You will develop mathematical models, based on systems of nonlinear differential equations combined with asymptotic
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scientific publications, patents, and seeing collaborators translate our work into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and
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research, adapting existing and developing new scientific techniques and experimental protocols. You will work with limited supervision to design and accurately execute experiments to achieve the goals
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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-of-the-art laboratories where engineers, scientists and healthcare experts work together to develop new medical technologies to solve some of the most urgent and challenging problems in healthcare. The Centre