436 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"Embry-Riddle-Aeronautical-University" positions in Hong Kong
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information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 9 April 2026 until the position is filled. Apply Now Posting date: 30
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number 2766 6746 or via email at stanley.j.winser@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will
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email at marco.pang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 8 April 2026
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optoelectronic devices fabrication and measurement. Applicants are invited to contact Prof. Yang Ming at telephone number 2766 5665 or via email at kevin.m.yang@polyu.edu.hk for further information. Conditions of
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or via email at jzhren@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 30 April 2026. Apply Now
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operation of computer systems; (b) assist in the implementation of system upgrading and migrations; (c) provide technical and administrative support in data collection, data analysis, filing and system
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, spectrum meter, etc. to measure the parameters of processed materials and test the performance of the fabricated devices; (d) collect data, analyse and interpret test results; and (e) perform any other
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Information Day, roadshows, consultation events, and other promotional and publicity initiatives; and (f) perform any other duties as assigned by the Head of Unit or his/her delegates. Qualifications
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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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communication skills in both English and Chinese; (d) have strong empirical research skills with expertise in causal inference methods (e.g., quasi-natural experiments, field experiments); (e) be proficient in big data