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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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econometric analysis to the writing and dissemination of results. Produce working papers of publishable quality in top-tier or leading field journals. Present research findings at academic conferences, seminars
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determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal
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. The Postdoctoral Associate will contribute to quantifying the private value of improved soil health across the U.S. using econometric techniques and combination of large-scale datasets. The start date
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methods from econometrics. The project extends the work of Proctor and colleagues (Nature, 2018, https://doi.org/10.1038/s41586-018-0417-3 (link is external) ) to other impact variables. Impact variables
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, including statistical analysis, econometrics, interviews, and policy analysis. Excellent written and verbal communication skills with a strong publication record. Experience working with diverse stakeholders
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sensing, econometrics, land surface modeling, geospatial statistics. o Demonstrated ability to conduct independent research and publish high-quality work in peer-reviewed journals. o Excellent written and
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such as econometrics and cost modeling. Familiarity with techno-economic analysis and material flow analysis. Demonstrated experience in supply chain mapping, risk assessment, and scenario analysis
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background in the economics of healthcare, public economics, or other fields of applied microeconomics. We are looking for strong background in data analysis, econometrics, and quasi-experimental methods
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econometrics The candidate should show some acquaintance in managing large datasets and non-traditional data, e.g. GIS, satellite-based, social media Fluency in English; a good understanding of French will be