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this PhD project are: Develop strategy for individualized earphone-based sound, which includes adequate representation of the physical environment(the acoustics of the listener's ear and the room in
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optimization. The main task of this PhD student is to develop new simplified electrochemical models that can be used in physical-aware AI health management. The models should be verified in terms of accuracy
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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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The appointment as PhD fellow will be a fixed term(3 years), full-time position, which will include both research and teaching activities. The position will primarily be attached to the section
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The position will primarily be attached to the section Psychology of Culture, Humanity and Education(Psyche), which focuses its research on the following main themes: General psychology Theoretical
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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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We seek PhD students that will contribute to new generations of scalable, model-based tools for cyber-physical systems based on a mathematical sound foundation, that enables trade-offs between
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student is expected to contribute actively to the research and teaching activities of the IKE research group. In addition to writing scientific articles, the PhD student is expected to collaborate with
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Technology at the Faculty of Medicine, which does multidisciplinary research and teaching in the area of health science and technology(e.g. medicine and biomedical engineering). The strategic focus
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There is a huge potential for using artificial intelligence(AI) for improving diagnosis and treatment of many diseases. Large amounts of clinical data are needed to train useful AI systems. However