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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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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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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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range of methodologies, including econometric analysis, micro-econometric demand analysis, big data analysis, health macroeconomics, discrete choice experiments, cost-effectiveness analysis, decision
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from senior staff. Work with researchers in Australia and internationally. Write and publish high-quality research papers and present at conferences. Who You Are A PhD in economics or econometrics. A
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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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-related issues. Demonstrated training or experience with using econometric methods (e.g., differences-in-difference, regression discontinuity, instrumental variables, fixed effects for panel data, matching