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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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. These problems have been compounded by the emergence of Artificial Intelligence. New forms of algorithmic manipulation have been used to sow discord in democratic societies, undermine trust in politics, and erode
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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