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given to those with research experience in drone delivery optimization, machine learning, reinforcement learning and operation research. Applicants are invited to contact Prof. Siyuan Feng at telephone
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines designs and development of computer programmes for numerical computation of electromagnetic
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assigned by the Head of Unit or his delegates. Qualifications Applicants should: (a) have an honours degree; (b) have some knowledge of the operation of online survey; (c) have some skills in using
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supervise data collection and analysis; (c) assist in liaising with collaborators and managing the project procedure; and (d) perform any other duties as assigned by the project leader or her delegates
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Assistant post should have an honours degree in one of the above-mentioned disciplines or an equivalent qualification. Applicants should also: (a) have good computer literacy including MS Word, Excel
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Applicants should: (a) have an honours degree in Optometry or an equivalent qualification; (b) have good computer literacy including MS Word, Excel, PowerPoint and Chinese word processing; (c) have
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) through advanced computer vision and LVLM integration; (b) overcome technical challenges: innovate solutions for large-scale small-object detection, dynamic lighting adaptation, and edge-computing
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independently within a team and be a good team player; (h) be highly motivated, able to handle multiple tasks and work under pressure; and (i) have sound knowledge of computer applications. Preference will
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- “Monitoring, diagnosis, and prognosis for renewable energy system under complex operation conditions”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification; and (b
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technologies such as React, Next.js, ES6 and HTML5/ CSS3; (d) a strong experience of server-side development such as using Node.js, MySQL, Mongodb and Linux operation; (e) experience in web services using