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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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and market competition”. Qualifications Applicants should have a PhD degree in Financial Mathematics or Financial Engineering and basic knowledge in Accounting and Python with at least three years of
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the research project - “Development and clinical investigation of an AI-empowered portable device for assessment of radiation dermatitis in cancer patients”. Qualifications Applicants should have a PhD degree in
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the research project - “Radiotheranostics: emerging integrated imaging and therapies for precision oncology”. Qualifications Applicants should have a PhD degree in Medical Physics, Physics, Biomedical
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supervise data collection and analysis; (c) assist in liaising with collaborators and managing the project procedure; and (d) perform any other duties as assigned by the project leader or her delegates
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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