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the research project - “Re-inventing surface haptics for robust human-machine interactions: from new modelling to psychophysical evaluation”. Qualifications Applicants should: (a) 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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doctoral or master’s degree in Education, the Learning Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in
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multi-agent language learning platform: Personalized tutoring and contextual simulation”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited
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literacy including MS Word, Excel, PowerPoint and SPSS; (d) have good interpersonal and organisational skills; and (e) be a good team player and able to work independently. Applicants are invited to contact
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- “Investigating the role of variability in written and spoken Chinese: learning Chinese characters using multiple fonts, adapting to regional varieties of accented Mandarin speech”. He/She will be required to: (a
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development and implementation of deep learning models for the automated analysis of multimodal ophthalmic imaging data; (b) assist in integrating generative AI techniques into edge computing platforms
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should have an honours degree or an equivalent
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twelve months] Duties The appointees will assist the project leader in the research project - “A multimodal intelligence-enabled strategy learning approach for cognitive human-robot collaborative assembly