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agricultural economics, economics, statistics, or related fields (with emphasis in applied econometrics) by the time of appointment. Candidates will be evaluated on: Proficiency in Excel; demonstrated experience
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diverse data sets, applying advanced analytics, and leveraging ML/AI techniques to detect, quantify, and forecast global risks affecting sourcing strategies. It will also include assessing AI-driven demand
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show evidence of understanding, expression and application of concepts and methods. Strong data analysis skills, especially in applied econometrics and statistical methods within health economics are
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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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will lead to fundamental advances in human-water systems theory and applied research benefits for local water and land managers. Thus, the ideal candidate would have strong quantitative skills
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their skills in econometrics and quantitative as well as qualitative methods (such as surveys and interviews). To have a basic knowledge of Dutch as the data and partners are mainly from Dutch origin. To have
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. This position is a combination of service and applied research and may include preparing confidential reports for the Gates Foundation, public research briefs and literature reviews, public coding syntax files
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for Integrative Innovation Management (C*I2M). The research in C*I2M is cross-disciplinary integrating management, marketing, and technology. We seek to understand and promote insights of innovation from
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, and to utilize the unique data provided by tutoring to better understand teaching and learning. The postdoctoral fellow will contribute to this work by leading one or more of the following research