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issues Liaise with the academic departments to provide an optimal support structure for the respective programmes Implement elements of the quality control cycle, such as course evaluations Liaise with
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limited understanding of the drivers of managerial behavior in complex organizations. A great challenge lies in understanding what are crucial design elements of control systems, what design options
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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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explained in a statement of purpose. Strong skills in quantitative empirical analysis/applied micro-econometrics. GRE test is required for all entering PhD students. Valid GRE (revised) General Test results
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require strong analytical and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team
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this temporary role, you bring: • A bachelor’s degree or equivalent through experience. • At least three years of experience in a digital marketing position. • Experience in marketing data analysis, data-driven
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: communication and marketing concepts, basic marketing theory, digital and online tools, research and analysis. Strong writing skills Knowledge of Adobe Suite and basic video editing skills are appreciated and
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description In the NWO-project “Dignity in place” we combine fundamental philosophical analysis of the concept of dignity with an engaged participatory research approach, co-creating knowledge with migrant
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systems in ways that align with the social and organizational environments in which they operate? Addressing these questions requires ethnographic inquiry that considers not only the technical elements
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that are part of this program adopt a sociologically informed macro perspective - meaning that they start from the organization, organizational field, or societal level as the main unit of analysis. Otherwise