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Field
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(IMI, IMT, IRS, Census) with descriptive methods and causal econometric techniques. It will use various approaches to identify vacant dwellings, including machine learning algorithms to visually detect
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research that informs investment decisions and shapes the future of sustainable finance? The Sustainable Finance Group (SustFin) within the Department of Management, Technology, and Economics of ETH Zurich
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background. This PhD training phase will provide you with a broad array of theoretical and econometric tools that are necessary to successfully develop original and pioneering scholarly research in accounting
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. The research group collaborates both within and across disciplines, e.g. with experts in crop production, technology, animal health, and epidemiology. It consists of around 20 members, including PhD students
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knowledge of quantitative methods, particularly in statistics and econometrics; experience in machine learning is a plus Background in business/management/behavioral science Experience with programming
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candidates to apply in stage one or stage two to have sufficient time for visa applications and other arrangements. Additionally, all financial aid for PhD programme students may be awarded during the first or