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, turning geodata into new answer maps. We use knowledge graphs to model these transformations and apply AI methods to scale them across large map repositories, enabling users to explore many ways maps can be
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-analytical workflows, turning geodata into new answer maps. We use knowledge graphs to model these transformations and apply AI methods to scale them across large map repositories, enabling users to explore
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attendance to two Dutch Research Schooles in Theoretical Physics over the course of the PhD. The position is embedded in a vibrant community of theoretical cosmology, gravitational-wave, and string theory
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perform back-of-the-envelope calculations. You are able to create clear and visually appealing figures and graphs for scientific communication. You have basic skills in scientific writing and familiarity
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collaborative, diverse team. This is a unique opportunity to contribute to the foundations for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic