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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 8 days ago
Skills/Qualifications Profile that we are seeking The candidate must have well-established skills in economic theory, analysis, and modeling, as well as in econometrics and quantitative analysis (spatial
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engagement. The successful candidate will undertake rigorous PhD training in Economics, with a focus on Behavioural and Experimental Economics and advanced econometric modelling. Candidate Profile Applicants
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Project summary: How does exposure to electricity price risk shape the way investors value European companies? Using textual analysis and financial econometrics, this PhD will construct new
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with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high
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groups of households, and policy settings must respond to the different needs of households. We will use econometric modelling, timeseries econometric analysis, and microeconomic analysis to compute
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of Economics include: Macroeconomics, Microeconomics, Econometrics, International trade, Foreign direct investment, Economics of regional integration, Tourism economics, Development economics, Economics of
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FieldEconomicsEducation LevelPhD or equivalent Skills/Qualifications Skills 1. Technical skills: • Advanced use of Eviews/Stata econometric modeling tools and software. • Ability to develop and implement complex
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successfully completed a master's degree in (applied) economics, econometrics, finance or business engineering by September 2026. Successful candidates should have excellent qualifications at bachelor and master
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3 Apr 2026 Job Information Organisation/Company KU LEUVEN Department OM/FEB Research Field Economics » Econometrics Economics » Industrial economics Engineering » Industrial engineering Mathematics
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London School of Economics and Political Science; | London, England | United Kingdom | about 1 month ago
merging from large-scale microdata sources (e.g., electricity grid operational data, environmental emissions data, vehicle registrations, company accounts). Conduct data analysis using econometric and