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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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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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written and spoken English and Chinese (Cantonese); good communication skills; advanced knowledge and experience with statistical and data analysis software (e.g., SPSS, R, Stata, Nvivo) and MS Office
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and validation, data analysis, report and manuscript writing, and public disseminations of findings. Support the PI in the coordination and monitoring of the instrument development and validation
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experimental data analysis and management Drafting proposals, reports and presentations relevant to the projects Liaising with project collaborators and partners Performing various laboratory administrative
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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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experience in one or more of the following areas: development of methods for multi-omics data integration, application of machine learning models in life science, single cell data analysis and spatial
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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