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on children and families. Key responsibilities include building analysis-ready linked datasets from health and human services data sources, employing statistical methods to analyse linked data for research, and
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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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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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. Desired qualifications experience with omics, big data, and statistics using R or similar tools good understanding of biological disease processes and ophthalmology experience using AI to predict health
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diagnostics methods. Knowledge of solid-polymer electrolytes, composite membranes, mechanics, and polymer chemistry. Familiarity with data curation and visualization, statistics, and advanced data analysis
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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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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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designing and conducting experiments, statistical data analysis and possess excellent quantitative, and analytical skills. • The ideal candidate is expected to be self-motivated and can work in an
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oversee the Centre’s data collections and provide statistical analysis and advice across various NCETA research, evaluation and consultancy projects. The position will also contribute to project design and
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Details Posted: 04-Jun-24 Location: Boston, Massachusetts Type: Full-time Salary: Open Categories: Academic/Faculty Mathematics/Statistics Internal Number: 5303762 Zelevinsky Postdoctoral Fellow