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or closely related field (statistics, physics, biomedical engineering). - Experience communicating with multidisciplinary researchers. - Practical experience with large-scale real-world time-series data
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Applications are encouraged for a Research Associate position, which is embedded within a large, international consortium advancing the integration of local data and knowledge into global
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organisational skills with the ability to manage large volumes of data and prioritise competing deadlines Ability to use initiative and work independently and as part of a team Ability to prioritise and be
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statistical tools to analyse large multi-omics datasets from several large-scale prospective cohorts addressing important questions in cancer aetiology and prevention. In addition, you will be passionate about
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ownership of student data, managing and updating large datasets to ensure records remain accurate, consistent and complete throughout the academic year. You’ll monitor data trends, investigate issues and
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at Imperial College. The post offers a unique opportunity to develop advanced skills in epidemiological and statistical methods, working with large-scale electronic health record data to address important
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, and coalescence of smaller droplets, eventually generating droplets that are large enough to fall from the cloud under gravity. However, the turbulence within clouds is highly intermittent, due
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of large-scale datasets from international cohorts and biobanks, including PPMI, UK Biobank, and All of Us, with a focus on designing scalable and reproducible data pipelines. You will work with electronic
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ownership of student data, managing and updating large datasets to ensure records remain accurate, consistent and complete throughout the academic year. You’ll monitor data trends, investigate issues and
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of our large research groups including their conference, workshops, and travel requirements. The post-holder will work closely with the Department’s senior academic and administrative staff including