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Field
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applicant should have: Strong proficiency in Stata and R Solid background in econometrics and applied microeconomics Familiarity with AI-assisted coding tools is a plus Ability to work independently and
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to Macroeconomics (high priority) Introduction to Microeconomics Basic Econometrics Intermediate Microeconomics Quantitative Analysis and Forecasting Big Data in Economics Please see the curriculum framework
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of applications. Candidates must submit their applications via the University of Alicante e-Services Portal (https://seuelectronica.ua.es/ )--Trámites [‘Procedures’]--Procesos selectivos y de provisión
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) in Economics or a related field. Must have experience teaching macroeconomics, the macroeconomic aspects of international trade and finance, and econometrics. Must also have experience with
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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
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transport, or transport system performance.(E) Knowledge of relevant analytical methods, including, but not limited to, statistical inference, causal inference and econometric methods (such as instrumental
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://fses.uniba.sk/en/studies/admission-procedure/phd-studies/vypisane-temy-dizertacnych-prac/ Profiles of supervisors and contact information:https://ekonom.sav.sk/en/staff Where to apply Website https
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modeling. · Experience applying econometric and causal inference techniques to research questions related to social policy and poverty · Extensive experience working with the American
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semesters Beginning Winter semester Application periods https://www.gsefm.eu/applicants/requirements-and-deadlines.html Combined Master's degree / PhD programme Yes Joint degree / double degree programme No
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financial services. For more information about EPAR, please see: https://epar.evans.uw.edu/ This position is a combination of service and applied research and may include preparing confidential reports