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smarter recovery? Are you motivated to combine claims data, experiments and risk modelling to contribute to a more resilient built environment in the Netherlands? Are you our new colleague? We are looking
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and representation in a (post) imperial context? In this post-doctoral position you will work in an interdisciplinary team studying changes in the sound of political disagreement over two centuries
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fertility outcomes by quantifying the (un)predictable”. In particular, you will investigate the results and implications of the PreFer data challenge – a large data challenge that was held with hundreds
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encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University (https://www.uu.nl/en/organisation/working-at-utrecht-university
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forming fundamental challenges. Physics-based models are too complex, while pure data driven models lack explainability, ultimately reducing the robustness. The proposed solution is the development of a
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-private collaborative research. We strive for a diverse and inclusive working environment where we are kind to the person, but though on the data. Please visit our website: www.inhibitoryreceptorlab.nl
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enthusiastic about incorporating AI-based and data-driven methods to extract new insights from Earth Observation data. We are particularly interested in candidates working on land-oriented applications such as
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/LLM-based system capable of identifying socio-cognitive and socio-emotional triggers in student group interaction data (text, audio, and multimodal streams), drawing on the HASRL framework and the
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challenges. At the Faculty of Science, scientists and students work on fundamental and complex societal issues for a sustainable, healthy and just future. From forest fires to big data, from obesity
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integrates athletes’ subjective experiences (such as perceived exertion, motivation, enjoyment and fatigue) with objective physiological and biomechanical data. ASPIRE is a collaboration between the University