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Field
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Europe. Within DETECTIVE, researchers will develop innovative methods used to detect emerging pathogens earlier, understand who is most at risk, and translate the complex multi-source data into real-time
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will develop innovative methods used to detect emerging pathogens earlier, understand who is most at risk, and translate the complex multi-source data into real-time, evidence-based decisions and
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-quality research using appropriate methodologies and analytical techniques. Conduct stakeholder interviews, workshops and other qualitative research activities. Analyse complex datasets and multiple
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fellow will work with Dr. Yi Li and his research group to develop innovative statistical and computational methods for large-scale, high-dimensional, and complex biomedical data. Research topics include
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analysis of large, complex healthcare datasets alongside experience of writing papers for peer-reviewed journals. It is essential that candidates have a strong working knowledge of research methods in
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-based health and environment research or epidemiological research focused on health and environment). Substantial, recent, relevant experience working with complex health and environment-related data
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to the work of ADRC NI (e.g. population-based research or epidemiological research focussed on population mental health) Substantial, recent, relevant experience working with complex linked administrative data
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to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess resource requirements and use resources effectively
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, ageing, cognitive neuroscience, neuropsychology or dementia-related fields experience coordinating complex research projects and managing multiple priorities strong quantitative data analysis skills and
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algebraic complexity, with emphasis on GCT, border complexity, Waring/tensor rank, and connections to representation theory and algebraic geometry. Publish research outcomes in leading venues in theoretical