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cell, foundation models, graph neural networks, or multimodal omics integration). Epigenetics (DNA methylation, chromatin analysis, single-cell epigenomics). Stem cell research (iPSC culture
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at least two of the following areas: AI/machine learning for biological modeling (e.g., virtual cell, foundation models, graph neural networks, or multimodal omics integration). Epigenetics (DNA methylation
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guidelines, and policy recommendations; Supervise and guide Research Assistant(s) in data collection, literature review, and preliminary analysis; Coordinate with project partners, stakeholders, and the
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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into the common data model. Conduct advanced statistical analyses and epidemiological studies on RWD. Collaborate with the Research Coordinators and Project Managers to define analysis plans and ensure data quality
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interviews, focus groups, and thematic analysis Lead the development, deployment, and maintenance of AI chatbots for medical education Collaborate with technical teams on chatbot design, testing, and
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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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with the Research Coordinators and Project Managers to define analysis plans and ensure data quality for specific projects. Prepare analysis datasets, reports, and visualisations for both internal