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interpersonal and communication skills. Preference will be given to those with a relevant portfolio related to system development, Human-Computer Interaction (HCI)/cultural studies, and/or knowledge of Cantonese
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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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leader in the research project - “Service-learning course”. He/She will be required to: (a) provide administrative support on the overseas service-learning course; (b) assist in coordinating
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literate in computer and multimedia applications; (e) be well-organised and attentive to details; and (f) have a high level of self-motivation and strong communication, interpersonal, and
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Chinese, with fluency in Putonghua; (d) have experience in assisting in large scale projects; (e) have good computer literacy, including but not limited to MS Word, Excel, PowerPoint and Adobe Acrobat
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- “Contrast-adaptive real-time (CART) 4D-MRI technique via cascaded deep learning for abdominal tumour tracking in MRI-guided radiotherapy (YIRA)”. Qualifications Applicants should have an honours degree
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. For the post of Research Assistant, applicants should have an honours degree or an equivalent qualification. For both posts, applicants should have relevant research experience in ultra-precision machining
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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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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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, Psychology, Design, Human-Computer Interaction, Interactive Media, Media and Communication or related disciplines with three or more years of research/relevant work experience. Applicants for the Research