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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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external Job description You educate and inspire the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and new
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the Netherlands with both scholars focusing on developing and applying state-of-the-art methodologies from the fields of statistics, economics, and machine learning, as well as scholars focusing on consumer
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approaches that integrate both qualitative and quantitative research (e.g., combining big data or machine learning with in-depth fieldwork) can also be pursued. Method selection and mastery are viewed as part
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experimental data to test hypotheses or measure phenomena, in online, lab and /or field settings. Identifying the critical assumptions needed to draw inferences from empirical results. Writing computer code to
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layers across heterogeneous platforms. Ideally you would have familiarity with deploying or supporting AI and machine-learning workflows, including large models, large network analytics, or multimodal data
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” website: https://www.rsm.nl/faculty-research/departments/strategic-management-and-entrepreneurship/phd-in-strategic-management/ Opens external Keywords Entrepreneurship, Innovation, Strategy Renewal
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the SCM section will fill a maximum of one PhD positions this year that can be on any of these topics. Machine learning for stochastic last-mile deliveries In recent years, stochasticity has received
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are looking for a candidate who is eager to learn to research how organisations and businesses can be key drivers of social change, and we welcome applications from a wide variety of backgrounds and
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FTE (4-5 days per week) and we require that you work on campus at least 2 days per week. On the other days, it is possible to work from home. We ensure you are provided with a notebook computer and