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of the developed cavitation model with acoustic radiation models, validating against experimental data. Required Qualifications A relevant educational background within Mathematics, Physics, or Engineering, with a
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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 in Aalborg. The mission is to be
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Department of Health Science and Technology carries out multidisciplinary research, teaching and dissemination within biomedical engineering, sports science and medicine. The department has
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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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. 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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within Science and Technology Studies. AIM is a collaborative research project, which will consist of four researchers(2 PhD fellows, the PI, one research assistant), and as such all researchers will be
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obtain further information from Associate Professor Rikke Gade, Department of Architecture, Design and Media Technology, phone:+45 2683 1996 or+45 9940 7124, email:[email protected] concerning
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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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years. It is a prerequisite for 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
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learning with safety constraints. Qualification requirements: Master's degree in Electrical Engineering or a related field. Excellent understanding of dynamical systems and optimal control. Proficiency in