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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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well as education within materials, mechanics, physics, production, and industrial management and innovation. Benefitting the industry and additional collaborators several innovative and unconventional collaborations
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driven methods. The Post Doc will be working with the latter. The model structure will be founded on first principles models with parameters that ideally possess physical significance. Parameters
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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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to an interview and/or asked to give a trial lecture. When the employment process has been terminated, a final rejection will be sent to the applicants who are not considered for the position. Contact information
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opportunity to comment on their own assessment, and may be invited to an interview and/or asked to give a trial lecture. When the employment process has been terminated, a final rejection will be sent
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have the opportunity to comment on the part of the assessment that applies to the applicant in question. When the employment process has been terminated, a final rejection will be sent to the applicants
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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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information about the application process etc., please contact Lene Møller, AAU PhD, e-mail: [email protected] , phone:+45 9940 9658 Wages and employment Appointment and salary as a PhD fellow are according