152 data-"https:"-"https:"-"https:"-"https:"-"U.S" research jobs at Hong Kong Polytechnic University
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machine learning. There are currently 54 academic staff and about 105 research personnel in the Department. Please visit the website at https://www.polyu.edu.hk/ama for more information about the
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machine learning. There are currently 56 academic staff and about 154 research personnel in the Department. Please visit the website at https://www.polyu.edu.hk/ama for more information about the
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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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, and quantitative spatial equilibrium in Hong Kong”. They will be required to conduct rigorous theoretical or empirical studies, including desktop research, model simulation, data sorting, geo mapping
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experiments on ancient silk artefacts; (b) perform multi dimensional characterisation of silk artefacts and simulated samples, ensuring compliance with laboratory protocols and data traceability; (c
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(b) be proficient in data programming for data collection, textual analysis (Python, Stata or SAS) and English reading. Applicants are invited to contact Prof. Lisa C. Z. Sun at telephone number
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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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email at saikit.lam@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 17 April 2026. Apply Now
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experience. They should also have a strong publication record in laboratory-based research and clinical data analysis. Applicants are invited to contact Prof. Chien-Ling Huang at telephone number 3400 8602
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literature reviews to support the research framework; (b) undertake data collection, management, and analysis in alignment with project objectives; (c) coordinate and monitor project activities to ensure