213 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" research jobs in Hong Kong
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for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V, quoting the job reference number, with information on current/expected
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promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for the following post: Postdoctoral
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the research project - “Large-scale complex 3D geometric feature computation for domestic large aircraft”. They will be required to: (a) conduct advanced research on point cloud techniques for geometric
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promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for the following post: Postdoctoral
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promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for the following post: Postdoctoral
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Department of Land Surveying and Geo-Informatics Research Associate / Research Assistant (Ref. 251119005) [Appointment period: six months initially, with possibility of further appointment] Duties
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, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https
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project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have an honours degree or an equivalent
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”. They will be required to: (a) collect and organise relevant data; (b) perform data analysis on functional magnetic resonance imaging (fMRI), brain stimulation and computational modelling data; (c
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application; (b) have solid academic background from a reputable university; (c) have research/engineering experience in Computer Vision, Transfer Learning, Large Foundation Models or Collaborative Agents