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quantitative data using advanced statistical, econometric or policy evaluation methods To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria
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advanced statistical, econometric or policy evaluation methods
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methods, and econometric models; and 3) contributions to reports, presentations, and peer-reviewed journal articles. The successful candidate will have the opportunity to collaborate with ORNL scientists
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, econometrics, environmental economics, or a related field, with clear details on the institution and date of achievement. Essential experience includes working with government agencies or engaging in policy
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a PhD in agricultural and resource economics, economics, or related field by the start of the position. The ideal candidate has a strong quantitative background (econometrics and causal inference
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leading international academic journals. To contribute to project deliverables and project meetings of the MOTIONAL project. The research is embedded within the Econometric Institute, Erasmus School
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needed to design a dynamic and adaptive transition pathway towards circular hospitals. To guide and support the transition towards circular hospitals, the Econometric Institute at the Erasmus University
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) measure that includes non-market agricultural outputs and impacts beyond environmental indicators. The ideal candidate will hold a PhD in agricultural economics, econometrics, environmental economics, or a
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work within the Department of Economics, Econometrics & Finance. The department is an active and international research community, performing to the highest international levels in research and
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. Expertise in metals and materials markets, energy technology manufacturing, or supply chains. Proficiency in economic analysis techniques such as econometrics, input-output models, and cost modeling