35 data-"https:" "https:" "https:" "https:" "https:" "https:" positions at Aalborg University
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Sustainability under the auspices of UNESCO (UCPBL: https://www.ucpbl.net/). Job description The main research area will be within the field of problem-based learning (PBL) in engineering education. The researcher
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Interaction venues. For further information about the project, see: https://www.nordforsk.org/projects/nordic-perspectives-collaborative-ai-blue-collar-work-cai-blue. Your competencies You must hold a master’s
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the Human-Centered Computing section,which focuses on designing, developing, and applying interactive computing technologies. More information can be found on our website: https://www.cs.aau.dk/research/hcc
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language. Information about the Department can be found on the following Website: https://www.en.society.aau.dk/ Aalborg University wants to reflect the surrounding society and has diversity as a core value
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would you like to work hands on with data in an internationally oriented research project on policing? The Department of Society and Politics at Aalborg University, Faculty of Social Sciences, invites
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AI-driven creativity with clear environmental performance feedback early in the architectural design process. This phase is characterized by high uncertainty in data availability and design parameters
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to offer students a solid analytical foundation in strategy, management, and organization. You can read more about the group here: https://www.business.aau.dk/research/research-groups/som How to apply Your
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of life and satisfaction of its residents. https://www.enjoynordjylland.com/ Your work tasks The position is offered in relation to the EU-funded research program "STRONG UR, Strategies for optimized
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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Links: [1] https://www.cs.aau.dk/research/Data-Engineering-Science-and
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date of 1 June 2026. They are well suited for early-career researchers interested in policing and politics, and who want hands-on experience working with large-scale quasi-experimental data. The project