90 data-"https:"-"https:"-"https:"-"https:"-"https:"-"IBMM" positions at University of Leicester
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and equipment are maintained, and take part in a wider UKRI-funded Marie Skłodowska-Curie network. You will record and present experimental data, contribute to laboratory meetings, and assist in
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London (Professor Angela Hassiotis), and Aston University (Professor Ian Maidment). The post holder will also be centrally involved in the analysis of qualitative data relating to the evaluation, as
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validate clinical associations that can lead to novel therapeutic strategies for asthma. This is an interdisciplinary post that involves close collaboration with microbiologists, data analysts, environmental
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contribute to statistical, genetic and genomic epidemiology projects that underpin drug development, working with large-scale genomic and linked health data, including major cohort studies and biobank
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(cardiometabolic) multiple long term conditions and the comparative effectiveness of interventions using secondary, real-world observational data (Clinical Practice Research Datalink, Hospital Episodes Statistics
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demonstrable experience of conducting Delphi-based consensus survey studies and literature reviews, alongside an understanding of confidentiality and data protection in research settings. Your background will
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efficiently. A strong understanding of data protection and the ability to handle confidential information with discretion are essential. We are looking for someone with outstanding communication and customer
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About the role This role offers an opportunity to contribute to the School’s established strengths in applied statistics, artificial intelligence, machine learning and data science. You will drive
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resource. This is an opportunity to gain experience using qualitative data collection methods and contribute to the impact of research. Literature searching and summarising research findings in a lay
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will deliver high-quality research on lifestyle, cardiometabolic health, multiple long-term conditions, and ethnic health using innovative data-driven approaches. About you You will hold, or be close to