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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic techniques to respiratory samples and developing analysis and interpretation approaches that facilitate
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and human health risks. The work will require interdisciplinary approaches to integrate and analyze a multi-year dataset that includes both in-situ water quality monitoring data, fish sample analysis
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to data analysis and science communication. PhD students at BirdEyes will gain expertise in cutting-edge ecological monitoring techniques, big data analysis, and creative science communication. The centre
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required to meet their climate neutrality targets (see: https://up2030-he.eu/ ). The University of Cambridge is leading activities on data governance and city-wide carbon management. The post holder will be
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, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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technical work packages: WP1 Annoyance from wind turbines WP2 Wind turbine noise data collection and analysis WP3 Wind turbine noise source modeling WP4 Wind turbine noise propagation modeling WP5 Wind farm
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Analysis, and (3) Stochastics and (4) Discrete Mathematics and Quantum Information. It also provides the lecturers and instructors for the mathematics teaching within the Science Faculty. The KdV Institute
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mentoring junior researchers, managing project budgets, and ensuring the integrity and quality of research outcomes. Your expertise will be critical in guiding experimental design, data interpretation, and
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, Skills and Experience • You will have substantial technical experience in time series analysis, ideally either in neurophysiology data or wearable sensor data • You will have experience of at least
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required to meet their climate neutrality targets (see: https://up2030-he.eu/ ). The University of Cambridge is leading activities on data governance and city-wide carbon management. The post holder will be