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knowledge recombination, conceptual distance, topic novelty, and uncertainty. The project will mostly rely on econometric analysis of large-scale microdata sets for researchers in Denmark, in particular, high
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software and programming environments. Experience with optimisation, simulation, econometrics, or data analysis applied to energy or market data. Knowledge of data centre operations, computing infrastructure
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
explaining observed temporal variations and trends in internal and/or international migration building on state-of-the-art econometric and/or system dynamics modeling approaches and recent migration data
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of existing codes, standards, and policies related to building decarbonization, including econometric analyses of economic impacts. (5) Conduct analyses of utility rates and rate impacts on households and other
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such as lab or survey-based experiments, randomized controlled trials, scanner or purchase data, and causal econometric analysis is particularly valuable. Methodological research related to experiments
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quantitative skills (a strong foundation in probability theory and calculus is essential; a strong background in game theory is highly valued, and econometrics is a plus) • Proficiency in English We offer
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. Qualifications The successful candidate will have a PhD and a strong background in quantitative research/statistics/econometrics. Strong computational skills are required. Ideally these skills would include
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: Doctorate in agricultural economics, economics, statistics, or related fields (with emphasis in applied econometrics) by the time of appointment. Candidates will be evaluated on: Familiarity with U.S
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. The ideal candidate will have experience in forest economics and policy, as well as applied econometric modeling. ABD candidates will not be considered. Desired Qualifications The ideal candidate
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determinants of health. The focus of this role is on cognitive decline and dementia, with an emphasis on: Applying epidemiologic, econometric, and other methods to strengthen causal inference Working with