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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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research, algorithmic discrete mathematics, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic, and
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the properties of the synthesized nanometer thin films and their interaction with neighboring layers and their environment. In particular for complex structures such as multi-layers of alternating materials, it
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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