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of transformation. By replacing animal-derived matrices with fully synthetic, animal-free PIC gels, this project - led by Radboud University in collaboration with HUB Organoids and SBMatrices - aims to unlock
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to meeting those goals. However, conventional methods of greenhouse gases accounting compress these systems into single-point metrics, such as "100-year global warming potential", which obscure critical
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of future Earth scenarios, for example “what if” scenarios; develop advanced embedding strategies and neural compression techniques to efficiently represent high-dimensional EO data for scalable learning and
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