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. The project will have a strong quantitative component relying on computer science, machine learning, policy evaluation and causal inference. In addition, it will also contain a strong business component, in
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often empirical and applies both quantitative and qualitative methods. As a PhD candidate in our section, you can design your own PhD project. The themes described below serve as inspiration and reflect
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doctoral programme is designed to train world-class researchers in Strategic Management and Entrepreneurship, with a strong emphasis on quantitative methods. We combine in-depth knowledge of key topics in
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, researchers are highly diverse and, as a group, encompass a wide variety of theoretical perspectives and research methods. For our PhD candidates, we provide an encouraging and supportive environment where our
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& Cognition Team at Erasmus University Rotterdam offers two fully funded PhD positions to study the aging brain through innovative cognitive neuroscience experiments and AI-based methods. Job description The
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-of-the-art theory and research on sustainability, business-society management, business ethics, and general management with business practice, using innovative teaching methods. The department also has a
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and implement the research independently and under guidance of the promotor and supervisor. This entails the set-up of the research, the selection of methods and theories, data collection and analysis
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optimizations, creating endogeneity. Traditional discrete-choice and market share–based methods often fail under these constraints. Recent work has begun developing robust estimation frameworks that integrate
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within a dynamic network of universities and societal partners in migration and urban studies. A comprehensive training programme combining theoretical courses, advanced methods, and transferable skills
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solutions for larger societal divides. Using methods such as multi-criteria mapping and participatory action research, you will co-design interventions that help CCs recognize, discuss, and address