11 computer-science-programming-languages-"Prof" research jobs at Hong Kong Polytechnic University
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machine learning model evaluation for smart building services”. The appointee will be required to: (a) write and programme the advanced AI Large Language Model algorithm and framework; and (b
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- “Research on the effective mining, representation, and application of composite program repair patterns”. The appointees will be required to: (a) participate in several research activities; (b) assist
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computer science, maritime economic or a related field, preferably with a publication record in computer vision or maritime-related research; (b) proficiency in programming, including Python and Matlab, data
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robotics, localization, mapping, and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated ability to conduct independent research and contribute
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or an equivalent qualification; (b) have strong programming and econometric skills; (c) be excellent in reading and writing in English; and (d) be patient, attentive to details and with a strong sense of
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow / Research Associate / Research Assistant (Ref. 250603024) (1) Postdoctoral Fellow / Research Associate (two posts) (2
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Department of Land Surveying and Geo-Informatics Postdoctoral Fellow (Ref. 250502015) [Appointment period: twelve to twenty-four months] Duties The appointee will assist the project leader in
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Department of Land Surveying and Geo-Informatics Research Associate / Research Assistant / Part-time Research Associate / Part-time Research Assistant (Ref. 250502016) (1) Research Associate
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, applicants should also have: (a) strong background in robotics, localization, mapping, and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated
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, mapping, and multi-modal sensor fusion; (d) proficiency in programming languages such as Python and C++; (e) demonstrated ability to conduct independent research and contribute to collaborative