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Field
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: Utilize methods such as machine learning / predictive modeling to identify trends or high-risk groups, and develop interactive dashboards (e.g., Tableau, Power BI, R, SAS) to communicate findings. Open
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, - Proficiency in R and/or Python programming languages, - Experience working with large medical-administrative databases would be appreciated (SNDS, PMSI), - Excellent command of scientific English (written and
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researchers with: A PhD in Medicine, Pharmacy, Biostatistics, Epidemiology, Computer Science, Image Analysis, or another quantitative discipline. Achieved proficiency in statistical programming (e.g., R
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will receive a FAPESP Post-Doctoral fellowship in the amount of R$ 12,570.00 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent
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candidate will receive a FAPESP Post-Doctoral fellowship in the amount of R$ 12,570.00 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent
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2 pages). This opportunity is open to candidates of any nationality. The selected candidate will receive a Post-Doctoral fellowship fom the São Paulo Research Foundation (FAPESP) in the amount of R
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School (FMRP-USP), Brazil. The position is open to Brazilian and international candidates. The selected candidate will receive a FAPESP Post-Doctoral Fellowship worth R$ 12,570.00 per month, plus a
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. This opportunity is open to candidates of any nationality. The selected candidate will receive a FAPESP Post-Doctoral fellowship in the amount of R$ 12,570.00 monthly and a research contingency fund, equivalent
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the quantitative analysis of survey data Expertise in R or another similar statistical programming language Expertise in the management of complex survey data sets and associated metadata Excellent written and
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 5 days ago
statistical software such as R, Python, or Stata is required. The Max Planck – University of Helsinki Center for Social Inequalities in Population Health is a major joint initiative of the Max Planck Institute