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computational ecosystem, including shared codebases, data pipelines, computing resources, and public-facing research outputs (e.g. websites and repositories). They will collaborate across work packages and with
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London School of Economics and Political Science; | London, England | United Kingdom | about 2 months ago
, taking minutes and tracking actions Work with colleagues to actively monitoring progress towards project milestones and collate information for project documentation, including dashboards, risk registers
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data An interest in research, innovation, or emerging technologies How to apply Please apply via the University of Surrey website by submitting your CV and a cover letter. The University of Surrey is
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on the provision of service information to students, staff and external partners. The role will also play a key part in; our external relationships with organisations such as QAA and Medr
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
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Unit and Epidemiological Studies Unit (CTSU), Oxford Population Health (Nuffield Department of Population Health). The postholder will analyse large-scale data from the UK Biobank and China Kadoorie
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’, and to several ML-based projects at the British Antarctic Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. Role Summary Implement and
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) data Genetic epidemiology and Mendelian randomisation studies (with support from senior scientists) Undertake meta-analyses. Conduct meta-analyses in R or Python across a range of cardiometabolic topics
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will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in
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interdisciplinary team has a wide range of skills and provides platforms and services for reproducible computational research that covers the entire data analysis lifecycle. You will collaborate with the team