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science. You will also collaborate with schools, teachers and educational organisations to conduct research in real-world learning environments. The position involves frequent communication with children
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technological landscape continuously inspires innovation, are you keen to uncover the student perspective, and the implications of AI for meaningful student learning? Job description Delft University
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of high-quality GPR data collected at the University of Twente’s Utility Mapping Site (UMS), a unique test environment for utility mapping technologies. Current machine learning models and their training
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environment for utility mapping technologies. Current machine learning models and their training data are limited in size, comprehensiveness, and realism – resulting in partial automation with limited
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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented
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, Computational Cognitive Science, Intelligent Systems, Culture Studies, Philosophy, and the Tilburg Center of the Learning Sciences. Collaboration across disciplines is encouraged among both researchers and
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learning and skills training. Translate your educational vision into concrete practice, in line with Maastricht's CCCS approach to student-centred, collaborative and inquiry-driven learning. Contribute
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. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in compositionally complex recycled steels, using density functional theory and machine-learned interatomic
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questions into robust machine learning implementations, including preprocessing, model training, validation and deployment is part of your role; collaborating enthusiastically with domain specialists and
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an inclusive, collaborative research culture. What we ask of you You are a curious and rigorous researcher who enjoys learning across disciplines. You can translate an ambitious methodological idea into a