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students and early-career researchers in good PPIE practice and public engagement methods. To be actively involved in the co-production of an AI-enabled glaucoma triage platform, ensuring that patient
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recognises his pivotal role in work that led, among others, to the development of CAMPATH monoclonal antibodies, which are now used for the treatment of certain leukaemias and for multiple sclerosis
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SCH clinical, demographic, estates, and environmental datasets. Supporting the application of statistical methods and spatial mapping of the HVI across SCH zones and patient groups, and assisting in
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Research Assistant within our Populations Theme, exploring how cardiovascular disease and multiple long-term conditions intersect—especially across diverse ethnic groups. Hosted by the Leicester Real World
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Resistance Factor (μ-value) according to relevant international standards. • Actively participate within the research group, communicating and presenting research at meetings, through publications and other
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No. 1 scholarship grant for scientific training activities at INFN Structure of Milano for the following research topic: “Development of simulation codes for finite temperature plasma acceleration devices
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with report writing and statistical analyses, and possess a basic understanding of multivariate statistics, including multiple regressions, factor analysis, and statistical tabulations on Excel and
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dynamics, methods for unstructured grid generation, high-temperature gas dynamics, multi-physics simulations, and/or advanced code development for high-performance computing. The development and application
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component (e.g., a postgraduate dissertation) and have a strong grasp of computational and statistical methods. You will also have excellent communication skills. This is post is part-time (0.50 FTE), fixed
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UK precipitation dataset at high temporal (15-minute) and spatial resolution. The student will integrate data from multiple sources—including tipping bucket rain gauges, weather radar, and satellites