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leading role in the analysis of host-response genomics in large patient cohorts, including those from recent and ongoing Covid-19 studies. Working with clinical outcome data, you will perform genome-wide
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following skills and experience: Essential criteria PhD in statistical/psychiatric/behavioural genetics or a related academic area with a strong data analysis component Excellent coding skills with a focus on
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to rigorously evaluate new and uncertain community-level interventions in infectious disease control. A key component relates to harnessing advanced mechanistic disease transmission models to improve prediction
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of Stirling and Aberdeen and the wider academic team to design and implement social analysis of the cases including regional profiles, interviews and workshops on place-based understanding of Just Transition
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on the optimisation of metal hydrides and/or the design of solid-state hydrogen stores and compressors. The candidate must be awarded a PhD by an internationally recognised university in Mechanical Engineering
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of smokers trying to quit using e-cigarettes. Smoking is the leading cause of preventable death worldwide, and a risk factor for many diseases. With an ageing population, the profound economic and health
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health risks in multimorbidity populations. The role requires strong organisational skills, independence, and proficiency in statistical analysis. You are expected to prepare findings for publications
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other parts of the country. Therefore, you will have excellent communication and relationship building skills, experience of qualitative research methods and data analysis and an ability to be flexible
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looking at the design and analysis of randomised trials of interventions to reduce the risk of vector-borne diseases (e.g. malaria and dengue). The Project offers an interdisciplinary opportunity to work in
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and relationship building skills, experience of qualitative research methods and data analysis and an ability to be flexible and work autonomously. The position requires a mix of skills and behaviours