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provide intuitive, human-interpretable explanations for complex model predictions derived from Earth Observation data, including high-resolution satellite and aerial imagery. You will engage in a
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outcomes in the Netherlands and beyond. This data-driven project will use real-world data to examine how centralization affects equity in access, treatment patterns, and the integration of complex
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, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic, and imaging. Please click the following links
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, theoretical computer science, and theoretical physics. We participate in university focus areas in Complex Systems and Applied Data Science. More information For more information, please contact Pieter Belmans
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energy use, material consumption, and complex supply chains. You investigate how board-level and clinical leaders in healthcare organizations can drive sustainability transitions, and how leadership and
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approaches. Current food product development struggles to handle the complexity of new, sustainable ingredients. This project will address that challenge by developing automated high-throughput methods
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analyses. Strong quantitative skills and ability to analyse complex ecological data. A collaborative mindset, with the ability to work in an interdisciplinary team, as the successful candidate will work both
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relevant field (e.g., computer science, AI, Data Science), ideally with experience in network science (complex networks/social network analysis) and AI; Experience with programming in languages relevant
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modifications in terms of methodology and substrate scope. The developed knowledge will be applied in the synthesis of complex carbohydrate-based natural products. You will be trained in organic synthesis and
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collected in these trials will feed into the development of the Human Dietary Digital Twin—a computational model for the prediction of individual metabolic responses to complex meals. This modeling work will