615 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Plymouth" positions at University of Oxford
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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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). You will have experience of managing and working with clinical research or patient data e.g. data entry, data coding, entry validation and reporting, with critical and intelligent attention to detail
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include supporting recruitment, data collection and analysis for qualitative and quantitative studies. They will also contribute to research publications and presentations, and help to run Patient and
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to hear from you! The University of Oxford is partnering with Erin Hall-Westfall and Joanna Logan of Constellate Global Talent on this search. For more information, please go to www.weareconstellate.com to
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, on-brand materials. You will be a strong communicator skilled at influencing and supporting stakeholders, highly organised and meticulous in ensuring creative and messaging consistency. Further information
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Management MSc Biodiversity, Conservation and Nature Recovery MSc Environmental Change and Management MSt Classical Archaeology MSc in Visual, Material and Museum Archaeology MSc Social Data Science The
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financial compliance. Further information on this role can be found in the job description. At Saïd Business School we believe in fostering a diverse and inclusive work environment where everyone can thrive
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signature research. You will play a key part in transforming raw research data into actionable datasets and developing small, purpose-built open-source models to advance our scientific capabilities. In
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. Ability to convey complex technical information as appropriate to a variety of audiences (technical and non-technical stakeholders), using a variety of methods. 4. Ability to apply knowledge and experience
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific