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and democratic participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal
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participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal explanations. Your job AI is
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. You will combine technical work on machine learning with qualitative analysis of how AI systems are interpreted and used in organisational decision-making. Join the Human-Centred Computing group
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applications and hybrid modelling (process-informed machine learning); Strong interest in interdisciplinary scientific challenges at the interface of domain knowledge and data science and collaboration in a
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-empowering AI systems. The project spans domains such as healthcare, mobility, education, law, ethics, and public governance. This position is a collaboration between Utrecht University and the University
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to understand how weathering contributes to sediment production (in collaboration with Dr. Martha Cary Eppes, UNC Charlotte). In addition, you will learn to apply the probabilistic debris-flow model SedCas
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times of societal crisis. You will join a vibrant academic community and benefit from interdisciplinary collaboration across social psychology, sociology, and public health. As part of a collaborative
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Social Science, or related field; has strong affinity with the study of families and economic inequality; has experience with both quantitative and qualitative research (or is motivated to learn both types
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project. You will collect, develop and pilot aforementioned methods, in collaboration with a diverse group of stakeholders, including biomedical researchers, patient representatives, model developers
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work within and in interaction with the Ombion-CPBT project. You will collect, develop and pilot aforementioned methods, in collaboration with a diverse group of stakeholders, including biomedical