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Health or other related disciplines with at least 2 years of post-bachelor's work experience. Previous work experience in big data analysis, managing large databases of multiple research projects relating
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. Previous work experience in big data analysis, managing large databases of research projects relating to family caregivers of older adults and/or cost effectiveness evaluation, and with related track records
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with faculty, researchers, and other team members on various projects. Requirements A good PhD degree, preferably in data science, biomedical sciences, or a related discipline; Experience in
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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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) programmes. Applicants should have (i) a PhD degree from the University of good QS World University Rankings, special in Biological Sciences, preferably in ophthalmology or computer sciences or statistics