104 parallel-and-distributed-computing-phd-"https:" research jobs at Hong Kong Polytechnic University
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Smart Cities and Urban Informatics (Ref. 251208008) The Department of Land Surveying and Geo-Informatics (LSGI) is
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. Qualifications Applicants should: (a) have a PhD degree in Mathematics / Statistics / Financial Mathematics / Operations Research / Computational Mathematics / Applied Mathematics or a closely related field
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. Qualifications Applicants should: (a) have a PhD degree in Mathematics / Statistics / Financial Mathematics / Operations Research / Computational Mathematics / Applied Mathematics or a closely related field
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Geospatial Artificial Intelligence (GeoAI) / Climate Resilience / Urban Sustainability / Global Change Ecology
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. Qualifications Applicants should: (a) have a PhD degree in Bioinformatics, Bioengineering, Applied Mathematics, Computer Science or a related discipline; (b) preferably have at least two years of
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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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Department of Computing Research Assistant Professor (four posts) (Ref. 260227003) The Department of Computing (COMP) of The Hong Kong Polytechnic University, founded in 1974, pioneers
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Vision and Graphics, Statistical Learning, and Bioinformatics. Please visit the website at https://www.polyu.edu.hk/dsai/ for more information about DSAI. Duties The appointee will be required to: (a
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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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Department of Computing Research Fellow / Project Fellow / Postdoctoral Fellow / Research Associate / Project Associate / Research Assistant / Project Assistant (Full-time/Part-time) (Ref. 260417019