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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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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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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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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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paste this section into a new document and give clear examples of how you can evidence meeting each criteria by writing under each one. You can draw on elements from any aspect of your life (e.g. work