78 postdoc-parallel-computing research jobs at Hong Kong Polytechnic University in Hong Kong
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Department of Industrial and Systems Engineering Postdoctoral Fellow (Full-time/Part-time) (Ref. 260401006) [Appointment period: eight months] Duties The appointee will assist the project leader in the research project - “Next generation of in-situ precision three-dimensional surface metrology:...
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
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Department of Electrical and Electronic Engineering Postdoctoral Fellow (Ref. 260330013) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research project - “Automated monitoring traffic data system for detector status and non-recurrent...
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Department of Computing Research Assistant Professor (six posts) (Ref. 251009002) The Department of Computing (COMP) of The Hong Kong Polytechnic University, founded in 1974, pioneers
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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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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Geospatial Artificial Intelligence (GeoAI) / Geomatics / Global Change Ecology / Urban Science and Sustainability
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Work, Computer Science or other related disciplines; (b) have a good command of both written and spoken English and Chinese, with fluency in Cantonese; (c) be proficient in using statistical
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines design and development of computer programmes for numerical computation of electromagnetic
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Space Science (Ref. 251211003) The Department of Land Surveying and Geo-Informatics (LSGI) is widely considered as a
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agents across various tasks; and (c) benchmark the performance of the proposed approach on several representative tasks in computational pathology by comparing a selective and adaptive mixture