27 natural-language-processing-phd Fellowship positions at Hong Kong Polytechnic University in Hong Kong
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research and assist in project coordination for visually impaired guidance. For the Research Associate posts, the appointees will be required to involve for the post-training large language models
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Sensing, GIScience, Computer Science, Artificial Intelligence, Statistics, Geography, Urban Planning, Geoscience, Environmental Science, Landscape Ecology, Meteorology and Climatology, Natural Resources
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research and evaluation studies; (b) assist in designing research tools such as questionnaires; (c) conduct data collection, processing and analysis; (d) prepare research reports and academic papers
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methods for sparse optimization”. Qualifications Applicants for the Senior Research Fellow post should have a PhD degree, preferably in Mathematics with at least six years of postdoctoral research
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English Language (at least Grade C if Syllabus A; Level 2 if results are obtained from 2007 onwards), Chinese Language (Level 2 if results are obtained from 2007 onwards) and Mathematics; or a combination of results
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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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”. Qualifications Applicants should: (a) have a PhD degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field, and must have no more than five years of post-qualification
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data analysis; and (d) a good command of both written and spoken English and Chinese. Applicants are invited to contact Prof. David Shum at telephone number 2766 4510 or via email at david.shum
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spoken English and Chinese, with fluency in Cantonese and Putonghua; (c) have good knowledge of using statistical software such as SPSS, Mplus or AMOS in running statistical analyses such as SEM, HLM
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) optimise BIM software performance and address challenges, including model processing, data storage, and rendering efficiency; and (e) collaborate with AI algorithm teams to understand the business