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online teaching materials, statistical knowledge in analysing baseline data and drafting reports; (b) have high proficiency in written and spoken English; (c) have good communication skills
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leader in the research project - “A semantic-enabled cognitive digital twin for reliable human-robot collaborative disassembly”. Qualifications For the post of Research Associate, applicants should have a
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doctoral degree or an equivalent qualification and must have no more than five years of post-qualification experience at the time of application; (b) academic background and solid knowledge of Applied
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) knowledge of SPSS or related qualitative analysis software (e.g. NVivo, MAXQDA, Taguette) and experience with AI-assisted coding methods; (c) an excellent command of both written and spoken English and
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; (b) knowledge of using XR related software and producing gamified interactive virtual content and physical models; (c) a good understanding of teaching virtual environment and the ability
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. Preference will be given to those with a relevant portfolio related to system development, Human-Computer Interaction/Cultural Studies and/or knowledge of Cantonese. Applicants are invited to contact Prof
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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