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Institute of Data Science. General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good
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of the project; (b) analyse qualitative research data; (c) assist in drafting of academic publications; (d) liaise with project partners and researchers; and (e) perform any other duties as assigned by
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the research project - “White adipose tissue (fat) dysfunction in ageing and its related metabolic diseases: new insight and therapeutic intervention”. Qualifications Applicants should have: (a) a PhD degree
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postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster
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postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster
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the research projects - “Monitoring and predicting slope instability in forested terrain from multi-mode remote sensing data” and “Resilience of rural infrastructure and communities to climate change
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: Optical-fiber-based artificial compound eyes for 3D vision”. Qualifications Applicants for the Postdoctoral Fellow post should have a (i) PhD degree in Physics, Materials or Engineering and must have no
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for the Postdoctoral Fellow post should have (i) a PhD degree in Physics, Materials or Engineering and must have no more than five years of post-qualification experience at the time of application; and (ii) at least
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around the world as well as Hong Kong PhD Fellows and winning other external competitive grants. For more information, applicants are advised to visit the departmental website , UG programme website
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of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute