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required Strong training in economics, econometrics, and data science, with a demonstrated potential for excellence in research and teaching Priority will be given to candidates who have prior experience
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required Strong training in economics, econometrics, and data science, with a demonstrated potential for excellence in research and teaching Priority will be given to candidates who have prior experience
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duties as required. Required Education and Experience PhD in Agricultural Economics Preferred Experience Experience with econometric and business management research methods and analysis Experience with
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. Occupational Summary The Department of Neurology seeks a Post-Doctoral Fellow to work in the Vascular Neurology division on clinical research at the interface of causal inference, econometrics, biostatistics
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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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skills, especially in applied econometrics and statistical methods within health economics are essential as is the ability to work effectively independently and collaboratively. Diversity Committed
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understanding of decentralised markets and blockchain-based financial systems. Relevant areas include market microstructure, asset pricing, financial econometrics, risk management, macroeconomics and tokenomics
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understanding of decentralised markets and blockchain-based financial systems. Relevant areas include market microstructure, asset pricing, financial econometrics, risk management, macroeconomics and tokenomics
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, econometric, and other methods to strengthen causal inference using multilevel, longitudinal data and quasi-experimental approaches, along with the exploration of gender, racial/ethnic and socioeconomic
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 21 hours ago
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