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decision-support tools for responsible AI adoption. You will work closely with academic experts and industrial collaborators, contributing directly to both theory and practice. Your research will deliver
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an interest in both theory development and engagement with practice. The PhD position is part of the larger AMBITIONS project involving TU Delft, Utrecht University, and Avans Hogeschool, working together
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systems in port-cities and under threat from climatic and socioeconomic changes. You have an interest in conducting fieldwork, as well as bridging different theories and concepts, including urban metabolism
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the two countries (including observations, digital ethnography, interviewing, shadowing), data management, data analysis, theory-building, and (co)authoring academic articles for leading journals in
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experts and industrial collaborators, contributing directly to both theory and practice. Your research will deliver frameworks that help organizations in the technical industry evaluate the economic balance
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Creativity, Authenticity, and Cultural Mediation: Ethnography of China-Africa Fashion Trade and Cons
fields central to the project: media and cultural studies, gender, race and ethnicity, fashion studies, postcolonial/decolonial theory, and China studies. Excellent written and spoken English, and a high
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the area of Actuarial Sciences, Econometrics, Mathematical Economics and Game Theory, and Operations Research. Members of the department teach in the BSc and MSc programme in Econometrics & Operations
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unique opportunity to contribute to the technological foundations for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential
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respect to urban water systems in port-cities and under threat from climatic and socioeconomic changes. You have an interest in conducting fieldwork, as well as bridging different theories and concepts
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for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency