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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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econometric software (Stata or R). Experience with spatial data analysis and related software (ARC-GIS, Python, etc). Preferred applicants will have demonstrated skills in implementing research, and the ability
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. Proficiency in R (or Python or Stata), including experience with data management, spatial analysis, geocomputation. Experience working with large, complex datasets, including Consumer Reference Datasets (CRDs
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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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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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climate futures and impacts Experience of processing, integrating and analyzing large quantitative or qualitative data sets Ability to think laterally and integrate knowledge from different disciplines
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teaching loads. www.eur.nl/en/ese Department The Econometric Institute at Erasmus University Rotterdam has a strong research tradition in econometrics, statistics, data science and operations research. It is
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theoretical understanding of mechanisms and profound expertise in micro-econometric modelling. Knowledge and experience in one of the following areas is a plus: 1) experience with large administrative datasets
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Institute at Erasmus University Rotterdam has a strong research tradition in econometrics, statistics, data science and operations research. It is the oldest research institute in the field of econometrics in
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a micro-economic powered endogenous resource for regional and place-based development. The role will need high-level technical, econometric and data manipulation skills to produce, and ultimately