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VR-based tasks to study user cognition and creative performance; • process and analyse EEG data using advanced signal processing and machine learning techniques; • evaluate cognitive load
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leader in the project - “Exemplary learning, teaching and assessment practices in UGC-funded institutions in the age of GenAI”. He/She will be required to: (a) manage the logistic and administrative
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qualification; (b) strong background in extensive model optimisation on machine learning algorithm; and (c) good communication skill in English. Applicants are invited to contact Prof. Kay Chen Tan
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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai
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should: (a) have a PhD degree in Biological Science, Medical Science or a related field and must have no more than five years of post-qualification experience at the time of application; (b) have
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or Computing/Information Science (e.g., Computer Science, Human-Computer Interaction, AI) or related disciplines or an equivalent qualification and must have no more than five years of post-qualification
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and energy materials. Preference will be given to those with knowledge of computer programming, AI or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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leader in the project - “Transforming methods pedagogy: A GenAI-driven, flipped learning approach to empower design education”. He/She will be required to: (a) assist in preparing materials for flipped
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will assist the project leader in the project - “Developing flipped learning signature showcases”. They will be required to: (a) assist in preparing materials for flipped learning courses; (b
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of English and good communication skills. Preference will be given to those with relevant teaching experience in tertiary institutions, or knowledge of data analytics, machine learning as well as accounting