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conduct studies in collaboration with primary schools and educational partners, review the scientific literature, recruit and test participants, develop and evaluate educational materials and experimental
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’ preferences in terms of ‘productive agriculture’ and ‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations that optimize
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procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop probabilistic digital twins of coronary arteries. The goal is to create patient-specific
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plants in the automated phenotyping facilities of the Netherlands Plant Eco-phenotyping Centre (NPEC) . Using high-resolution imaging, you will follow plant growth, physiology and disease development after
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You will join t he Decision, Development and Psychopathology (D2P2) lab and your supervisory team will consist of Bernd Figner, Kim Fairley (both Radboud University), Kirsten Rohde (Maastricht
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that generalize across different physical settings. Building on this motivation, the project focuses on the definition, development, and analysis of scientific foundation models: large-scale, generalizable models
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? We are looking for a PhD candidate to develop AI methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use
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Are you interested in developing next-generation modelling tools for sustainable food production? Do you enjoy working at the interface of engineering, environmental sciences, and systems analysis
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Are you intrigued by the challenge of transforming plastic waste into valuable chemical building blocks? Are you passionate about developing sustainable recycling technologies that contribute to a
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, you will: Acquire and analyse human neuroimaging data, with a primary focus on high-field fMRI of natural sound perception. Develop and apply AI/NeuroAI models, including deep neural networks, to model