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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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development, employing machine learning techniques applied to industrial datasets, and in collaboration with industry. The applicant will work in the Software Engineering Theme, which is one of several Themes
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is founded by Innovation Found Denmark. Responsibilities: In the project two main approaches are compared. One based on black/gray box machine learning methods and another one on gray/white box data
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-generation energy conversion and storage devices. We have a unique opening to expand our efforts in developing our self-driving laboratory (SDL) that combines robotics-based lab automation, machine learning
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be expected to participate in the department’s teaching and supervision activities and teach and supervise at BA and MA levels. Given the international focus of the degree programmes, the successful
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of scientific machine learning tools for power systems? If you think optical resonators play a central role in wide areas of research and technology with applications ranging from lasers to enhanced