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project - “Smart manufacturing for ultra-precision machining”. Qualifications Applicants should have a doctoral degree with at least three years of postdoctoral research experience or equivalent
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education, AI in science education, self-directed learning and innovation leadership; work collaboratively with project teachers in designing STEAM curricula that integrate AI technologies and incorporate
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the curriculum is Climate Practice—connecting academic theory with hands-on experiential learning, corporate decarbonization projects, and field-based risk assessment. Duties and Responsibilities
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The appointees will assist the project leader in the research project - “Research centre for non-invasive brain computer interface”. Qualifications For the post of Postdoctoral Fellow, applicants should have a
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
. Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences or a related discipline, with a strong background in technology-enhanced learning and assessment, learning design and
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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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of ICH in Hong Kong, and with proven track records of experiences in conducting and presenting research results on ICH items in Hong Kong through ethnographic research; (d) good computer literacy
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combination of results in five HKDSE subjects of Level 2 in New Senior Secondary subjects / "Attained" in Applied Learning subjects / Grade E in Other Language subjects, and the five subjects must include
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-institutional project dedicated to supporting primary students in Hong Kong to learn Chinese, and to enhance their use of Chinese as a medium of learning. Reporting to the Project Leader, he/she will assist
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processing, weather-related forecasting, deep learning, and/or atmospheric radiative modeling, along with proficient Python coding skills. Applicants are invited to contact Prof. Mengying Li at telephone