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, the PhD researcher will develop physiological-model-based artificial intelligence technologies to assess patients’ recovery process, detect or even predict the occurrence of clinical adverse events like
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the feasibility of novel ultralow-power electronics based on quantum-mechanical tunnelling processes in advanced CMOS, which has a strong potential for Internet-of-Things devices and edge-artificial intelligence
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