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research agenda that connects Techno-Anthropology and Health Informatics. The research could, but not limited to, include development of sociotechnical approaches to exploring the intricacies of human-robot
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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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certificate programme or tailor-made training courses by request. Knowledge of engineering education and teaching experience from a PBL environment is an advantage. You may obtain further information from
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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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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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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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-supervision of PhD students and postdocs. Collaboration with industry and public institutions. Participation in programme/organizing committees, editorial boards, peer-reviewing. Research stay(s) at another