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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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, university professors and their students, administrators, other staff, the general public, and other HKU and HKMoA/LCSD stakeholders. Teach not less than one and up to two courses per year and offer one
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docking to investigate viral spike/capsid architecture, thermal stability, and immune epitope accessibility. AI/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity
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experience. Applicants who are in the process of completing a Ph.D. degree will also be considered. Desirable qualifications include physics deep learning, digital twin, smart and resilient infrastructure
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projects related to children’s and adolescents’ mathematics and science learning. He/she will be responsible for literature review, preparation of assessment materials, liaising with external parties
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/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity, genetic variation, and viral evolution. Genomics & Bioinformatics: Viral genome-based evolutionary analysis
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and construction workflows Requirements A PhD’s degree; AI-native; Highly fluent with tools like Codex or Claude Code (or equivalents), and can leverage them to learn and solve new and complex problems
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to supporting primary students in Hong Kong to learn Chinese, and to enhance their use of Chinese as a medium of learning. He/she will be responsible for coordinating and conducting project evaluation activities