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or related discipline to develop their data analysis and modelling skills and experience, applied to the field of health economics. We wish to encourage people who have strong quantitative skills who may be
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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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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; Helping to convene and deliver national symposia on workplace wellbeing and resilience; Providing insight and analysis grounded in organisational psychology theory and methods. This role will form part of
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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