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criteria Experience working with unfamiliar open-source software (assessed at: application/interview). Familiarity with basic experimental evaluation and data analysis (e.g., plotting results, interpreting
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have a particular focus on the social science component of the project. This will include stakeholder mapping, institutional analysis and engaging with theories of environmental justice/equity and place
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have a particular focus on the social science component of the project. This will include stakeholder mapping, institutional analysis and engaging with theories of environmental justice/equity and place
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in developing, enhancing and evaluating the impact of the University activities that support the Teaching Excellence Framework (TEF). It will also be an essential component, working in partnership with
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patch clamp electrophysiology. Perform quality control analyses on data. Mange the analysis of data and record keeping in electronic lab notebooks. Suggest methodological improvements as and when needed
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under supervision from the Chief Investigator (Dr Claire Wilson). The role will be responsible for contributing to all aspects of the research, including data collection, analysis and publication of study
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for decisions in diabetes (REDDIE) project, as well as projects with focus on the analysis of CGM and physical activity data. There are also opportunities to contribute to a diverse range of ongoing
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data analysis of on-going and/or new research projects. The person appointed will have time to continue developing their own research and will be expected to publish in leading international journals
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ensuring key milestones at met. This involves quantitative and qualitative analysis of existing survey data, writing scientific manuscripts, and contributing to stakeholder engagement and dissemination
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at met. This involves quantitative and qualitative analysis of existing survey data, writing scientific manuscripts, and contributing to stakeholder engagement and dissemination activities. The postholder