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-induced dynamic behaviour. Transfer functions linking LDV, ABA, TG, and wayside sensor measurements to embankment responses will be derived and validated using field data. These relationships will provide a
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project autonomy, and strategic intent and operational use. The research is planned to use a comparative multiple-case study design. You will conduct in-depth empirical research with construction firms
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spread, but also in-depth insight into how human behaviour, economic incentives, and policy instruments shape decision-making by key chain actors involved. Positioned at the intersection of behavioural
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Conduct original and novel research in the field of Computational Imaging and Computer Vision. Publish and present scientific articles at international journals and conferences; Contribute to educational
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and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow
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multiple-case study design. You will conduct in-depth empirical research with construction firms undergoing digital transformation. This will include interviews with executives, IT leaders, digital
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project and help shape the future of reliable, sustainable power electronics. Job description The successful candidate will conduct research within the EU-funded Moore4Power project on health monitoring and
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and/or user research. A strong motivation to conduct academic research and publish in peer-reviewed venues. Fluency in English and enthusiasm for working in an international research environment
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the future. At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will
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background and/or keen interest in spatial cognition, including topics such as spatial learning, navigation, and environmental perception and behavior. Hands-on experience in designing and using immersive