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Field
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impact of the large-scale provision of azithromycin on child mortality. Candidates must have a postgraduate degree, ideally a doctoral degree, in a relevant topic and experience with demographic or health
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extensive experience (e.g. substantial time spent working in industry) in epidemiology, statistics, data science or leading analyses on large healthcare record datasets (e.g., including but not limited
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This exciting role will support the delivery of Peer Assisted Learning Strategies (PALS-UK) in a large-scale Education Endowment Foundation funded effectiveness trial. PALS-UK is a research-informed approach to
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Overview An exciting opportunity has arisen for a highly motivated clinical trainee with a background in data science, to join our Motor Neurone Disease/Neurodegeneration clinical research programme
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candidate will contribute to projects on flow-ecology relationships and habitat suitability modelling for freshwater organisms and will be comfortable working with large datasets, including spatial
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most important summer cereal, producing large amounts of stem biomass with untapped potential for renewable energy and sustainable materials. In this role, you will explore genetic diversity in stem
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maximum biological insight from their data. This will require effective communication with researchers from diverse backgrounds and the ability to translate between biological questions and computational
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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for publication Interact with Large Lakes Observatory personnel to plan and execute data collections and analyses Serve as the project manager for the MNSG project a project to increase the efficiency and
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for large-scale molecular and biochemical projects, and data collection/characterization of understudied fruit and vegetable varieties. The results will be made publicly available on the NPGS online database