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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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theory and real-world policy design. The PhD position is embedded in the Economics, Econometrics, and Finance research programme of FEB’s Research Institute. The project will be supervised by Dr Viktor
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and interests: A MSc degree in a relevant field such as data science, econometrics, health economics, operations research, or a related discipline. A strong background in quantitative research, with
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, Econometrics and Finance of FEB’s Research Institute. The project will be supervised by Abe de Jong, in cooperation with Tim Kooijmans (RMIT) and Peter Koudijs (NYU). Organisation Since its foundation in 1614
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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