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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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quantitative research, particularly methods for longitudinal analyses, causal inference, and natural experiments (e.g. difference in differences, interrupted time series) Demonstrated experience (as demonstrated
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methods is an asset Knowledge of Bayesian statistics is an asset Excellent written and oral communication skills Strong analytical, problem-solving, and programming skills (in statistical software such as R
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