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has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct
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paradigms. The position should encourage interdisciplinary engineering approaches, including AI, modeling, sensing technologies, and data-driven methods, aimed at improving battery safety, reliability, and
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external grants and participation in strategic initiatives such as the CAPeX Pioneer Center. Key Research Areas The candidate will contribute to developing and applying digital twins (data-driven and physics
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quantum computing programme, funded by the Novo Nordisk Foundation, that will drive research and innovations at multiple levels - from developing scalable quantum processor technologies to solutions