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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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statistics. You will be responsible for establishing a large health record linkage cohort to enable research degerming whether conception by assisted reproductive technology (ART), compared to conception
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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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public and global health research, education and translation of knowledge into policy and practice. The school is seeking to appoint a Research Fellow in Medical Statistics, Data Science or Health
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surveys. The post-holder must have a postgraduate degree in a field related to Public Health Nutrition, Epidemiology, or Public Health, with demonstrated strengths in geospatial and statistical methods
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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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inequality. Responsibilities will include data collection and processing using statistical software such as R or Python. The role is funded by UK Research and Innovation under its “Creating Opportunities
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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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dissemination. Successful candidates should have completed, or be near to completing, a PhD in Psychology, and should be proficient in advanced statistical methods, especially those involved in analysis