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Applicants should have: (a) a recognised certificate/diploma in a related discipline plus relevant work experience in mechanical and MVAC installations; (b) sound knowledge of the operation of
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experiment design, data processing and result analysis; (g) assist in the preparation of research papers, technical reports and open-source artifacts; and (h) perform any other duties as assigned by
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office hours occasionally. Qualifications Applicants should have: (a) a recognised degree with at least five years of solid administrative and supervisory experience; (b) a good sense of process
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, or Full Professor) in the following areas: Machine Creativity: Computer graphics, computer vision, robotics, etc. Machine-assisted Art Practice: Visual, sound, performing, installation, cinematic arts, etc
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; (f) engage with prospective students to provide information about the programme, answer inquiries and assist with the admission process; (g) contribute to the planning and execution
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) good computer literacy, including MS Word, Excel, PowerPoint and Chinese word processing; (e) excellent communication and interpersonal skills, including the ability to deal with stakeholders
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support to RCTFF’s daily operation; (b) coordinate visits, scholarly events and other activities of RCTFF; (c) handle information flow and maintain an effective record and filing system; (d) handle
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junior technical staff in UMF; (c) assist in the administrative management of UMF; (d) assist in the operation of the state-of-the-art dual aberration-corrected Scanning Transmission Electron
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Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and
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the Senior Vice President (Research and Innovation) [SVP(RI)] in the daily operation; (b) handle enquiries and receive visitors; (c) assist in departmental office administration; (d) draft simple and