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to improve R&D efficiency, and the influence of investors and other external actors on entrepreneurial outcomes. Our research also examines decision-making under uncertainty, including the use of Bayesian
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to design targeted marketing campaigns. Causal Machine Learning is an emerging research field that can learn the causal effect of an intervention and how it varies within a population based on a large set of
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papers should be a single authored paper. Students are also encouraged to undertake research with other faculty members, as well as fellow students. Most of our students target the academic market after
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an uncertain future, and hoping that targeted policy and planning help cities to move into new and better states. Therefore, this project focuses on three questions: (1) Under what combination of conditions do
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innovation management and to contribute to academic literature. Targeted contributions of each project listed above can be retrieved from the specified contact person. Employment conditions ERIM offers fully
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develops, the literature review will become more targeted, leading to the design of the initial study. The first year ends with the development of a research proposal for the rest of the PhD trajectory