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. The laboratory uses a combination of statistical, computational, and experimental approaches to understand how processes in our cells lead to changes in their DNA. These changes include errors (mutations
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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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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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high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens at Kew regularly to liaise with
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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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thesis for examination. You will have experience with data handling, databasing and statistical/bioinformatic analysis as applied to translational cancer research, and a keen interest to develop your
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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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-deas Hub for brain and mental health (https://www.cam.ac.uk/stories/AI-deas-launch ). The Hub fosters collaborations between mathematics, statistics, computer science, medicine and industry (e.g