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from small everyday utensils, furniture and even larger building elements being dismantled and reused. These caring practices shape not only material flows but also people’s affective involvement
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contribute to high-impact research on machine learning related to the analysis of IoT data in the form of multivariate time series. The DESS group is part of Department of Computer Science that belongs
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benchmarking algorithms, and communicating findings clearly in both written and oral form. You thrive in a collaborative research environment and are ready to contribute actively to publications and project work
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that shape our vision for a healthier and more sustainable future. We offer bachelor’s and master’s degree programs within biomedical engineering, medicine, medicine with industrial specialization, sports
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form the foundation of all ourstudy programmes. Additionally, ourengineering programmes areamong the best in Europe. Job description The task is primarilylinked to a cross-disciplinarityprojectcalled DK
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of POLSAFE (see profile: https://vbn.aau.dk/da/persons/jajh/ )The research team will consist of two postdoctoral researchers working closely together with the principal investigator and a research assistant