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, interdisciplinary collaboration, and group dynamics. Preference will be given to applicants with expertise in field experiments, survey methods, or quantitative data analysis. The postdoc will contribute to a new
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project by assisting with data processing, exploratory analysis, and implementation of Bayesian modeling workflows for flood depth–damage function calibration and evaluation. The position will contribute
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data sets and strong analytical skills in psychology or other social science disciplines is necessary. Responsibilities: Advanced statistical modeling and data analysis – 60% · Conduct advanced
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related field prior to the start date. Responsibilities for both positions will include collaborating on the development of research protocols, data collection and analysis, budget and supply management
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interventions and “nudges” in collaboration with external partners (e.g., companies, nonprofits, policy organizations) • Using advanced data analysis methods to extract interpretable patterns from large, messy
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, cross-national comparative analysis of real-world family structures, care utilization patterns, and well-being using multiple nationally-representative aging cohorts (e.g. Health and Retirement Study
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in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research
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Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics
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. quantitative and/or qualitative counterfactual-based approaches, Difference in Difference models, Qualitative Comparative Analysis, Bayesian hierarchical modelling); o Experience working with and synthesizing
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, or engineering. Preferred Qualifications: The ideal candidate will bring experience or a very strong foundational understanding in areas such as high‑dimensional data analysis and translational research, and must