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of planning, technology, and society to create a more sustainable future. We are interdisciplinary in the technical, natural, and social science disciplines and present a unique combination of social and
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School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational
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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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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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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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are highly interdisciplinary and include experts within e.g. biomedical engineering, neuropsychology, pharmacology, biophysics, and medicine with industrial specialisation, and medicine. You will thus be
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in, Engineering, Data Science, Computer Science or a related field with a strong foundation in physical and data driven modeling, statistics and stochastic processes. Experience in control engineering
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intentions and visions for the position are stated). Current CV(including personal data). Copy of relevant diplomas(Master of Science and, if any, PhD) On request you could be asked for an official English
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Science and PhD). On request you could be asked for an official English translation. Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant
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at the educations in Urban, Energy and Environmental Planning, Techno-Anthropology(TAN) and Environmental Management and Sustainability Science(EMSS), but also in other study programmes at the University. Experiences