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information-seeking behaviour and to examine how these differences relate to learning in the classroom. A central aim is to translate insights from fundamental research on curiosity into educational practice
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materials. By combining state-of-the-art microscopy, hydrogen testing and fracture mechanics, the group develops fundamental understanding of material degradation in extreme environments and translates
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expertise in hydrogen embrittlement, fracture mechanics and advanced characterization of metallic materials. By combining state-of-the-art microscopy, hydrogen testing and fracture mechanics, the group
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for the hydrogen economy. In this project, we aim to empirically test this theoretical framework in order to determine which interpretation and application of the theory can be effective in practice. In
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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will do Interpretable machine learning is a growing research area, with important applications in the biological sciences, such as understanding how different genes regulate each other within biological
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constrain it. Within an ongoing research project, we are developing a theory of an adaptive legal framework for the hydrogen economy. In this project, we aim to empirically test this theoretical framework in
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testing and optimization of different purification methods