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Field
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contexts. Basic Qualifications Ph.D. in areas such as statistics, biostatistics, computer science, economics, or a related quantitative field Strong skills in R and/or Python and experience analyzing complex
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research outputs. We are looking for a confident, organised researcher who can evidence: A PhD, or equivalent in statistics, biostatistics or data science. OR near to completion of a PhD Expert knowledge of
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Please note that only shortlisted candidates will be contacted. Qualifications • A doctoral degree (PhD, DPhil, or equivalent) in Epidemiology, Biostatistics, Mathematical Modelling, Health Economics
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data on cardiometabolic traits and diseases for publications. He/she must demonstrate relevant experience with the first-author papers/manuscripts. Applicants must hold a PhD degree in genetics
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, graduate, and undergraduate students, and a software and web engineer. Basic Qualifications PhD in Bioinformatics, Systems Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied
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you meet the essential and desirable criteria for the role. Please do not upload any additional attachments as these will not be considered by the selection panel. About you You will hold a PhD in
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with productive high-quality outcomes. To be successful, you’ll have: PhD in a relevant discipline and/or other relevant qualifications and experience (for example, in health economics, health technology
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of a similar nature that are delegated by the PI. Qualifications The applicant should: Hold a PhD or Master’s degree in Epidemiology/Biostatistics related disciplines; Have experience using data
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in successful research outputs. We are looking for a confident, organised researcher who can evidence: • A PhD, or equivalent in statistics, biostatistics or data science. • OR near to completion
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Supervise PhD students Contribute to the Department/School through management/leadership Develop and make substantial contributions to knowledge transfer, enterprise, business engagement, public engagement