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We are recruiting for an exciting research role as a Research Assistant/Data Coordinator, for the Children’s Surgery Outcome Reporting (CSOR) programme. This position is ideal for candidates with
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for using data science to address real-world challenges in animal welfare and agricultural sustainability? We are seeking a Research Assistant or Associate in Data Science to join an interdisciplinary
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Applications are invited for a Senior Researcher in Geospatial Foundation Models for the Analysis and Compression of Atmospheric Data with Focus on Clouds position. This position, part of EU Horizon
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science research. You will have experience of handling complex survey data at scale. The role holder will support this research using publicly available government and other data (which include NFHS, DHS
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to environmental change. The role will focus on generating high-quality data to inform and validate modelling work within a NERC-funded interdisciplinary project. The NERC-funded project develops a new development
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data to inform and validate modelling work within a NERC-funded interdisciplinary project. The NERC-funded project develops a new development-centric framework for understanding adaptation under
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-centric demography and will work closely with the PI and wider team. The postholder will lead modelling components of the project and contribute to integrating theory with empirical data. The NERC-funded
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applicants must have (or be close to obtaining) a PhD in Computer Science, Information Engineering, Statistics, Chemistry, Biology, or a related area, with extensive research experience and a strong
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from the establishment fund for Prof Gary Williamson, who recently joined Queen’s from Australia. The position is to generate data in the area of polyphenols and health and publish high quality papers
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skills and experience: Essential criteria Undergraduate degree (at least second class honours) in relevant bio/health-related or computer-science subject Previous experience working with neuroimaging data