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different EUR faculties and beyond interested in collaborating on student wellbeing research initiatives Data Analysis & Results Dissemination: Conduct (advanced) statistical analyses of existing and new data
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interest and a proven track record in one of the abovementioned fields. You have a strong background in quantitative empirical data analysis methods, such as econometrics, statistics and machine learning
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sustainability of cancer services. Therefore, a strong data driven program pulling data sources from registries including comprehensive cancer networks and data from Statistics Netherlands aims to provide
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of interviews and strong statistical skills to analyze survey data and other micro-level data. More generally, varied methodologies and data collection approaches are applied in PACES, and a general understanding