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in computer vision, machine learning, and artificial intelligence to inform research direction and identify new opportunities; Contribution to the Research Environment including participating in lab
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biomedical signal processing and artificial intelligence applied to cardiovascular health, with extensive collaboration with hospitals and international research partners. Selection process Interested
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), photoplethysmogram (PPG), Electrodermal activity (EDA), and contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies
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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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structurally resolved modes of binding to train the next generation of artificial intelligence (AI)-based structure prediction tools. PhD Project: AI-assisted protein-protein interaction interface clustering and
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that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and/or data science. Fluency in English and Python are required. Experience working with real-world