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Field
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: Strong qualitative (interviews, process tracing, case study design) and/or quantitative skills (econometrics, panel/archival data, field experiments, text analytics). Mixed‑methods experience is a plus
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» Econometrics Researcher Profile Established Researcher (R3) Positions PhD Positions Application Deadline 20 Dec 2026 - 23:59 (Europe/Paris) Country France Type of Contract Permanent Job Status Full-time Offer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Associate will support a wide variety of research-related tasks including (but not limited to) literature reviews; market and company research; data acquisition, cleaning, and econometric analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
Associate will support a wide variety of research-related tasks including (but not limited to) literature reviews; market and company research; data acquisition, cleaning, and econometric analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
economics, econometrics, forecasting, regional economics, labor economics, public policy or a related field. The successful candidate will help make the Initiative a trusted, objective, and methodologically
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of four years contribute to the department’s educational programmes (0.2 FTE) by teaching tutorials and supervising undergraduate students Where to apply Website https://www.academictransfer.com/en/jobs
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of the Division of Agricultural, Food and Resource Economics. You have experience with or are eager to work with large databases and database management software. You have starter skills in statistical, econometric
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econometrics, causal inference, cost–benefit analysis, and project evaluation. The successful candidate will: Develop, design, and conduct nationally or internationally recognized research in environmental
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in economics, mathematics, or related social science field Training in econometric and statistical techniques employed in causal inference Statistical programming experience in Stata or R Highly
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aspects of bio-based industrial ecosystems Knowledge of quantitative research methods, e.g., multi-regional input-output analysis, material flow analysis, econometrics (please specify in your application