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statistical analyses on large databases Designing and running experiments Structural modelling and related econometrics Proving theoretical results Basic Qualifications Bachelor’s degree by start date (required
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. This research is carried out using a variety of research methods primarily emphasizing large-scale archival data and quantitative analyses. Entrepreneurial Decision-Making and Ecosystems: This strand focuses
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. (2017). Beyond prediction: Using big data for policy problems. Science, 355(6324), 483–485. Barocas, S., Hardt, M., & Narayanan, A. (2021). Fairness in Machine Learning. Retrieved from https
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Master´s or MPhil degree) in one of the following fields: computer science, data science, operations research, economics, econometrics, statistics, management, or marketing. The ideal candidate should also
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Old Town and the elegant Georgian New Town, the beauty of Arthur’s seat and the fascinating Calton Hill; the vibrancy of the life, and the large and international student population; cultural events
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data collection fieldwork (quantitative and qualitative) related to health and WASH services followed by econometric and spatial analysis, and engaging with local communities and decision-makers. Your
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approval, ordering register data, and conducting econometric analysis of large register-based datasets. Further tasks include conducting health economic evaluations, project planning, scientific writing, and
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of Proficiency in the English Language. More information can be found here . Desirable (not required): Experience with WASH infrastructure or public health service evaluations; familiarity with econometric methods
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statistical analyses on large databases Designing and running experiments Structural modelling and related econometrics Proving theoretical results Basic Qualifications Bachelor’s degree by start date (required
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data and relevant factors as model inputs into modelling frameworks, by targeted literature review and secondary data analysis Perform big data-based epidemiological studies in health services and policy