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-country survey datasets for comparative analysis. Conceptualize and refine a theoretical framework integrating intersectionality and stigma processes. Develop and code a Bayesian meta-regression to pool and
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expertise/interest in Bayesian methods for addressing measurement error. Ideally PhD within the last 5 years. Advanced level experience with R, desired knowledge of Nimble, Overleaf. Excellent communication
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datasets. Proficiency with geometric morphometrics and image alignment. Proficiency in applying quantitative genetic methods to large datasets. Proficiency with large-scale animal models using Bayesian
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expertise to strengthen CTN+ research: · Dr. Shirin Golchi (McGill University) – A biostatistician specializing in adaptive clinical trial design and Bayesian modeling, with experience across multiple
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design, computer experiments, sequential analysis, shape-constrained inference, time series, and Bayesian analysis. In applied mathematics, these include information theory, coding theory, control theory
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analytical skills and a solid foundation in data synthesis, remote sensing, spatial analysis and Bayesian statistics o Strong proficiencies in R and/or Python o Experience with version control in GitHub