345 information-security "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in Hong Kong
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. Applicants are invited to contact Prof. Carman K. M. Lee at telephone number 3400 3899 or via email at ckm.lee@polyu.edu.hk for further information. Conditions of Service For full-time appointment, a highly
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implants. Contribute to research and development initiatives for implants and instruments as part of grant-funded and industry partners. Oversee data analysis pipelines and perform statistical analyses
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project - “Automated monitoring traffic data system for detector status and non-recurrent events”. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification and must have
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are invited to contact Dr Fang Ruirui at telephone number 2766 4582 or via email at rui-rui.fang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be
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Bachelor’s degree or above (for Research Assistant I) in psychology, data science, computer science, or a related discipline. The appointee should demonstrate strong quantitative and computational skills, with
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the possibility of renewal subject to satisfactory performance and availability of funding. About the ORIGINS COLLECTIVE The ORIGINS COLLECTIVE at The University of Hong Kong is a newly established research
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Department of Data Science and Artificial Intelligence Research Assistant (Full-time / Part-time) (two posts) (Ref. 260319011) [Appointment period: each for one to three months] Duties
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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
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Samantha M. S. Sin at telephone number 3400 2543 or via email at samantha.sin@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered
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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