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Science in Geospatial Data Sciences. Our faculty members are actively engaged in research spanning three key themes: Geospatial Data Sciences (e.g., remote sensing, geographic information science - GIS
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assist the project leader in the research project - “AI-RAN edge computing power based GNSS intelligent positioning and navigation project”. Qualifications Applicants should have: (a) a master’s degree
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the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree in Bioinformatics/Computational Biology, or a related discipline, with extensive
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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well as an excellent command of written and spoken English. Preference will be given to those with experience of teaching and research in computational social science, social data analytics, population studies
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funding availability. Applicants should possess a doctoral degree in Biomedical Sciences, Medical and Health Sciences Education, Computer Science or a related discipline, with a keen understanding of the
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for teaching a compulsory course themed at “The Chinese Economies” for the Master of Arts in China Development Studies (MAChDS) programme. Requirements Applicants should possess a Ph.D. degree in geography
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attached to the socio-cultural environment of the Chinese and English languages. The appointee will be required to teach courses in some of the following areas: Computer-aided Translation, Public Relations
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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research programme, and be responsible for teaching courses and supervising students at both graduate and undergraduate levels, as well as contributing to the administration of academic programmes. A highly