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The Econometric Institute is looking for a highly motivated PhD candidate for a joint project of the Erasmus University Rotterdam, TNO in The Hague, and the Netherlands Defence Academy (NLDA) in Den Helder Job
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for Energy Business and Economics Research (CEnBER - https://www.rug.nl/cenber/ ) and in the research programme Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by
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science, econometrics, animal sciences or related field. Strong scientific writing skills; Strong quantitative research skills, particularly in simulation modelling; An affinity with veterinary epidemiology; Motivation
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may include (but are not limited to): peer effects, work team design, rank effects, and managerial effects. The PhD project will be primarily empirical, with a focus on applying modern micro-econometric
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The PhD position is embedded in the research programme of Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by dr. J.A.M. de Grefte, prof. dr. B.P. de Bruin and
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-year PhD program, you will join a collaborative research team applying cutting-edge methods from Experimental/Behavioral Economics alongside modern macroeconomic modelling techniques (e.g. DSGE). You'll
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outcomes in the Netherlands and beyond. This data-driven project will use real-world data to examine how centralization affects equity in access, treatment patterns, and the integration of complex
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: the financial economics involved. Did the availability of finance, and the use of enslaved people as collateral, stimulate the trans-Atlantic slave trade and the use of slave labor on plantations? Did finance
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(or will complete by September 2025) a (Research) Master’s degree in Psychology, Marketing, Business, Economics, Econometrics, Communication, Data Science, or a closely related field. You have
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candidate with: - with an MSc degree in epidemiology, health sciences, public health, (health) economics, econometrics, mathematics, quantitative sociology, (developmental) psychology or a related field