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multidimension space SoC/SoT/SoH, with significant lifetime extension as a consequence. Due to the complexity of the physical models, AI is largely used for both states’ estimation, prediction and online
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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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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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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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physical models with pervasive data. It combines three key areas of research: optimization(encompassing multi-objective optimization, dynamic programming, and reinforcement learning), safety and resilience
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7251,[email protected] For general information about the application process etc., please contact Vigdis Skomager-Bohnfeldt, e-mail:[email protected] , phone:+45 9940 7408. AAU wishes to reflect
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stipend, please contact PI Rasmus Birk at [email protected] . For general information about the application process etc., please contact Lene Møller, [email protected] , phone:+45 9940 9658 Wages and employment
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process etc., please contact Lene Møller, e-mail: [email protected] .
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legal experts to push this process forward with a focus on supporting the use of synthetic health data in academic research, enabling all parties with the space and support to understand each others
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activities, coded as Action Units(AU) in a facial action coding system. Based on existing datasets, this PhD project will strive to automate this process. First, the focus will be on research and development