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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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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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at the Doctoral School in Medicine, Biomedical Science and Technology in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and
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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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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 Institutions
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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: https://www.phd.aau.dk/health The application is only to be submitted online by using the"Apply online" button below. AAU wishes to reflect the diversity of society and welcomes applications from
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disadvantages of each alternative are. The hypothesis of the project is that the ability of comparing alternatives is a fundamental skill for decision making and could have a central role within planning
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allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School in Medicine, Biomedical Science and Technology in accordance with the regulations of Ministerial Order No