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-style interventions, and preventative medication. Analysis will utilise best practice in health inequalities measurement, modern econometric techniques, behavioural experiments, and modelling
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quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent spoken and written English and the
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., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and written English and the will to acquire a certain working
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economics or a related discipline from a reputable university Strong knowledge in econometrics / applied mathematics / applied quantitative methods, with the ability to apply this knowledge to real-world
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characteristics of the case study areas. Geographical Information Systems (GIS) will be used to integrate and analyse these datasets, and a range of econometric and statistical modelling methods will be used
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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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Science Research Forum: Developing PhD Research Projects Advanced Econometrics Fundamentals of Experimental Design and Analysis Introduction to Econometrics Course organisation The programme consists of two
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expect knowledge in microeconomics, macroeconomics, and econometrics at an advanced Master's level. Exceptions from this rule are possible in special circumstances. In these cases, any missing graduate
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models or forecasting and econometric analysis Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our
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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