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and school leaders on STEAM education, artificial intelligence, science education, self-directed learning and innovation leadership; collaborate with project teachers to design STEAM curricula
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projects, and a track record of academic publications. The appointee will work on a cross-institutional project dedicated to supporting primary students in Hong Kong to learn Chinese, and to enhance
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, responsible and able to work independently and within a team. The appointee will work on various projects related to children’s and adolescents’ mathematics and science learning. Duties include literature
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’ self-directed learning and Chinese online reading competencies. He/She will assist the Project Leader in overseeing the research aspects of the project, analyse quantitative and qualitative data and
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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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learning. He/she will be responsible for literature review, preparation of assessment materials, liaising with external parties, coordination of research activities, conducting assessments with children and
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, responsible and able to work independently and within a team. The appointee will work on various projects related to children’s and adolescents’ mathematics and science learning. Duties include literature
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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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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