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research group, will be used for training. These data are available at different spatial resolutions, and the aim of the emulator is to downscale precipitation fields to an unprecedented resolution
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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, architecture, and/or industrial design. You also possess: Strong analytical skills and innovative attitude Previous experience with finite element simulations and/or rapid prototyping Good programming and image
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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-master design program being part of the program Business Information Technology. For more information on the BIT EngD program, see https://www.utwente.nl/en/education/tgs/interested-in/engd/programmes
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programme in 2008. Through the CCI, ESA is developing a suite of global data records of key components of the climate system, known as essential climate variables (ECVs). The climate-quality datasets produced
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). This includes identifying new factors that drive disease progression. The primary focus will be on using state-of-the-art genetic programming (in particular: GP-GOMEA) for small, explainable expression discovery
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. This project is funded by the Advanced Research + Invention Agency (ARIA) as part of their Safeguarded AI program that aims to develop the safety standards needed for transformational AI. The successful
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. This project is funded by the Advanced Research + Invention Agency (ARIA) as part of their Safeguarded AI program that aims to develop the safety standards needed for transformational AI. The successful
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% of the territory, and hosting critical natural resources and ecosystems. However, rural areas in the EU are remarkably diverse due to biogeographical and geopolitical situations, facing different sustainability