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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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ICT, Learning and Organizational Change or the continuing education programme in IT and Learning. Information about the academic content of the programmes is available here: https://www.aau.dk
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dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
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behaviour for system monitoring, state estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate
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, ethnography, and policy studies. Further description of the project can be found here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2026
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cooling, and two-phase cooling for very high heat fluxes. You will develop and use Computational Fluid Dynamics models in combination with analytical and reduced-order models, and contribute to publishing
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); contributes to SDC’s master programmes through teaching and guest lectures (Digital Innovation, research methods, computational methods, and case material from the candidate’s own fieldwork); contributes
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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into frontrunner firms in the Danish fashion and textile industry (see https://vbn.aau.dk/da/publications/grøn-omstilling-i-den-danske-mode-og-tekstilindustri-virksomhedsb/ — available in Danish only), the premise
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external research funding from national and international sources. Educational tasks involve teaching within the Medialogy program at the AAU Copenhagen campus. This includes delivering courses and teaching