22 parallel-processing-bioinformatics-"https:" research jobs at Hong Kong Polytechnic University
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the research project - “Virtual patient simulation system”. Qualifications Applicants should: (a) have an honours degree in Bioinformatics, Biomedical Engineering, Artificial Intelligence or related
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/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 experience at the time of
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- “Visual cues in persuasive reviews: The role of before-and-after surgery photos in aesthetic medicine”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have
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in the research project - “Development of efficient and cost-effective equipment for angstrom-level precision polishing and its application in processing optical complex surfaces”. Qualifications
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of the above-mentioned disciplines or an equivalent qualification. Applicants should also have: (a) good computer literacy including MS Excel and Chinese word processing; (b) a good command of written and
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have an honours degree in one of the above-mentioned disciplines or an equivalent qualification. Applicants should also have: (a) good computer literacy including MS Excel and Chinese word processing
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generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. He / she is required to: (a) undertake specific research project(s) under the guidance of a project
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the setting of educational institutions; (c) a good command of English and Chinese, preferably with an overall IELTS score of 6.5 or above; (d) good knowledge of personal computer applications; and (e
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word processing; (d) have a good command of both written and spoken English and Chinese, with fluency in Mandarin and Cantonese; (e) have good interpersonal and communication skills; and (f) be
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) have a good knowledge of computer vision and programming skills; and (c) be willing to learn research methods, data processing and data analysis. Applicants are invited to contact Prof. Lawrence W. C