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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
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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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(community interventions, community-based participatory research, meta-analysis and bias in research, RCT methods, causal interference, mathematical modeling, and econometrics) Policy research related
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American Hospital Association survey data, Area Health Resource Files, and Medicare Hospital Compare data Analyze panel data using econometric methods. Conduct a literature review for future projects. Assist
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American Hospital Association survey data, Area Health Resource Files, and Medicare Hospital Compare data Analyze panel data using econometric methods. Conduct literature review for future projects. Assist
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background in causal inference using econometric methods that can be used to extract insights about effective tutoring moves is desired but not required. Applicants must hold a PhD prior to their start date
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, survey testing, data quality monitoring, and more. Conduct econometric analysis under the direction of senior researchers. Manage relationships with collaborating institutions, including data collection
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the physicians at LifeDoc Health, a non-profit healthcare provider. Responsibilities focus on data analytics and econometric modelling of patient-level data (encounters, outcomes, etc.) and an assessment
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candidate, budget availability, and internal equity. Pay Range: $76,383 - $150,000 We are looking for a talented researcher with experience in econometric/quasi-experimental approaches for causal effect
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or TransCAD) or open-source transportation modeling software (i.e., MATSim and DTALite); Advanced knowledge of spatial analysis, econometrics, and/or machine learning. Additional Certifications: Additional