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We are looking to appoint a Senior Research Fellow to join the Department of Statistics and the Oxford-Man Institute of Quantitative Finance (OMI). The postholder will split their time roughly 40/60
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We are seeking a talented researcher with at least 4-years postdoctoral experience in epidemiology, health data science or medical statistics. You will be responsible for establishing a large health
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postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires skills and expertise in data science, statistics, and quantitative epidemiology. The position is based within a research
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a Research Fellow must hold a postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires skills and expertise in data science, statistics, and quantitative epidemiology
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trial from conception to dissemination 4. Familiarity with statistical software packages such as STATA, and/or R 5. Experience in the design and analysis of Monte Carlo simulation studies
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carrying out statistical analysis. Please visit Work at UCL for further information. About you The candidate must have a PhD or equivalent working experience in epidemiology, global health, statistics
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degree in a field related to Public Health Nutrition, Epidemiology, or Public Health, with demonstrated strengths in geospatial and statistical methods. Demonstrated proficiency in Stata, R, or other
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addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain
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of anticipated completion of a PhD in Medical Statistics or Epidemiology. Experience conducting independent research using routinely collected electronic health records and writing analytic code in Stata, R and/or
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to engage with diverse audiences, including individuals with lived experiences of depression, through public engagement and public outreach initiatives. As a valued member of our team within the Statistical