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of a novel condition monitoring system. Responsibilities: Develop machine learning algorithms and methods for condition monitoring of a disruptive new main bearing technology. Analyze sensor data from
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affiliated to the Department of Health Science and Technology, the Faculty of Medicine, which focuses on multidisciplinary research and teaching in health science and technology(e.g., medicine and biomedical
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The main research area will be within the field of problem based learning(PBL) in engineering education. The position will be related to the Aalborg Centre for Problem Based Learning in
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sustainable energy systems of the future within electrical, thermal and mechatronic energy technology. AAU Energy has campuses in both Aalborg and Esbjerg, this position is located in Aalborg. The mission is to
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have been placed Europe's best and the world's fourth best engineering university on the list of"Best Global Universities" published by the U.S. News& World Report. Our research and educations
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. Mobilizing literature in science and technology studies(STS), media studies and social anthropology, the project aims to redefine digital breakdowns as everyday “normal” occurrences rather than perpetual
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sustainable energy systems of the future within electrical, thermal and mechatronic energy technology. AAU Energy has campuses in both Aalborg and Esbjerg, this position is located in Aalborg. The mission is to
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functional safety, security, quantitative performance, and exploitation of modern machine learning technology. It is the overall hypothesis of S4OS that a full integration of model checking and synthesis with
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technology and material science. All interested candidates are encouraged to apply, regardless of their personal background. We value diversity and see it as a strength. You may obtain further information
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relevant Master’s programme, such as Chemical Engineering, Chemistry, Condensed Matter Physics, Materials Science or similar. The integrated stipend consists of two parts, A and B. During part A you are