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people and the world in which they grow and learn. Current AI tools—often considered “black boxes”—are characterised by a critical idiographic–nomothetic discrepancy. They are trained on static, aggregated
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translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen
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children learn new words not only by listening to a storyteller but also by processing multimodal signals such as iconic gestures and gaze direction. Using eye-tracking in both real-life and digital contexts
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to international law. Relevant practice experience will also be considered favourably. You possess excellent analytical and drafting skills in English. You are able to work effectively within a small, focussed
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components, allowing analysis of wave propagation, reflection, and energy transport. In this project, Q-variables will be used to derive analytical expressions for kink-wave reflection and interaction terms
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physiology An interest in sustainable livestock production Good analytical, problem-solving, and organisational skills Ability to work effectively in an interdisciplinary and international research environment