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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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Unit (PenCTU), and identify and develop research ideas and develop these into funding proposals. Have a PhD in biostatistics or related subject with a numerate or computational component (including
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Fellow appointment with benefits. Term: Two years Qualifications: The ideal candidate would have the following skills and attributes: PhD in Statistics, Quantitative Ecology, Mathematical Biology
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, ethical research standards, and applicable federal and state regulations ELIGIBILITY REQUIREMENTS Individuals with a PhD degree in computational biology, bioinformatics, data science or a related field are
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proposals. Have a PhD in biostatistics or related subject with a numerate or computational component (including machine learning, data science, mathematics or a computational science), or a postgraduate
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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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Bioinformatics, as well as the Departments of Biostatistics & Biomedical Engineering, University of Michigan is seeking a postdoctoral fellow for bioinformatics problems involving quantum machine learning and
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, you’ll have: Associate Research Fellow: Master’s degree in Biostatistics or Statistics; alternatively, a PhD in Epidemiology with strong quantitative component. Research Fellow: A PhD in Biostatistics or
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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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. The Biostatistics Group, led by Professor Rumana Omar, was established to strengthen the methodological quality of health research across UCL and its partner NHS Trusts. Wi thin this context, the group undertakes