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informed neural networks (PINN) and explainable machine learning (EML) frameworks; experience in related technologies including large-scale data analysis, deep learning, Python, PyTorch; and the ability
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learning in imaging analysis, clinical trials, epidemiology, genetic study, big data analysis, R language or related statistic software, or/and Python software, or programming skills of deep learning tools
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or public sciences; (ii) proficiency in English; (iii) solid experience in ophthalmology and visual sciences research, deep learning in imaging analysis, clinical trials, epidemiology, genetic study, big data
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analytics for teacher learning and pedagogical innovation. Deep knowledge of theories, practices and technological tools related to learning design and learning analytics is crucial. Familiarity with
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, with a strong background in technology-enhanced learning, learning design and/or learning analytics for teacher learning and pedagogical innovation. Deep knowledge of theories, practices and
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analytics for teacher learning and pedagogical innovation. Deep knowledge of theories, practices and technological tools related to learning design and learning analytics is crucial. Familiarity with