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representation for multi-model fusion”. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Computer Science, Electrical and Computer Engineering or a related discipline or an
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applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. General Requirements Candidates should have (i) a PhD degree in imaging science or related field or an equivalent
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for the project; and (h) perform any other duties as assigned by the Head of School, the project leader or their delegates. Qualifications Applicants should: (a) have a PhD or a doctoral degree, preferably in
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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writing; and (c) perform any other duties as assigned by the project leader, the Head of Unit or their delegates. Qualifications Applicants should have: (a) a PhD degree plus at least six years of
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1 September 2026 (earlier start dates welcome). The fellow will work with Professor James Zeng on empirical research at the intersection of law and Finance in China. Candidate profile: PhD in Finance
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of law and Finance in China. Candidate profile: PhD in Finance, Accounting, Economics, or a related field (in hand or expected by start date) Strong publication record or a promising pipeline of working
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Requirements Candidates should have (i) a PhD degree in data science or related field or an equivalent qualification; (ii) have experience in conducting research; (iii) interest in publishing high-quality
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or no later than June 1, 2026, for one year, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree (for Postdoctoral Fellow) or a
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research