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collaboration with a leading architectural firm. The candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a master’s degree in human-computer interaction
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investigate how sensor data can be fused to improve navigation, obstacle awareness, vehicle state estimation, guidance and mission reliability. Propulsion-control co-design: Studying the coupling between
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journals, and attract future research funding. Senior researchers will actively support access to Danish data sources (e.g., registry data, surveys, and organisations). Your competencies The ideal candidate
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communication skills. Proficiency in written and spoken English is mandatory. Further information: You may obtain further information concerning the scientific aspects of the stipend from Assistant Professor
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to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by
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be motivated to conduct in-depth empirical research in close interaction with the port sector. Solid qualitative methodological skills are required, and prior experience with qualitative data
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levels. A central component of your work will be the collection and analysis of qualitative empirical data. The empirical work will be based on in-depth case studies of firms operating within the Danish
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of quantum information – e.g. the no-cloning principle – to provide improved privacy in distributed computation settings. As part of the position, you will be expected to collaborate with other researchers
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, data, and analytical frameworks related to existing buildings, and contributing to the development and testing of AESA approaches for renovation and transformation practices. Your competencies
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-principles physical knowledge with data-driven learning to enable continuous, autonomous system oversight. Research objectives The project pursues two interconnected research directions: Continuous