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-qualification experience at the time of application; (b) academic background and solid knowledge of Applied Mechanics, Control Science and Engineering; (c) knowledge of control system development
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the research project - “LLM-based hybrid intelligence for UAV-assisted inspection and energy control in utility workshop”. Qualifications For the post of Research Fellow, applicants should have a doctoral degree
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of and ability to conduct data analysis; (d) have an excellent command of spoken English; and (e) be able to work independently and meet the work schedule. Applicants are invited to contact Prof
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conducting design research; (c) have a good command of written and spoken English; (d) have good communication and interpersonal skills; and (e) be able to work independently as well as in a team
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experience. Applicants should also: (a) have a good command of both written and spoken English and Chinese, with fluency in Cantonese; (b) be proficient in using statistical software such as SPSS, Mplus
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to collaborative projects; (d) excellent problem-solving skills and the ability to work in a fast-paced research environment; and (e) strong communication skills with excellent command of both spoken and
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in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a
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. Preference will be given to those with a good command of English and publications in top-tier journals. Applicants are invited to contact Prof. Kinor Jiang at telephone number 2766 6430 or via email at kinor.j
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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) lead market analysis, requirements gathering, and conceptual design; (b) optimise electromagnetic design of motor through simulations; (c) develop control algorithms and models; (d) guide