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Associate (two posts) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project - “Point-of-Care artificial intelligence integrated internet
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) assist in the design and implementation of the Radio Frequency signal platform; (b) assist in developing innovative RF sensing algorithms; and (c) assess the performance of new Internet of Things
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ready for revenge travel: The new expectation, perception and operation in hospitality and tourism industry”. Qualifications Applicants should have: (a) a doctoral degree (PhD preferred
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(Full-time/Part-time) (two posts) [Appointment period: each for twenty-four to thirty-six months] Duties The appointees will assist the project leader in the research project - “Materials processing
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research using methods such as sensing technique, 3D printing, human-computer interaction, simulation, and/or machine learning to address challenges in machinery motion planning and construction safety
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Sensing, GISci, Computer Science, Statistics, Data Science, Computer Vision, Machine Learning, Geography, Urban Planning, Sustainability, Urban Science, Geoscience, Environmental Science, Ecology
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or equivalent qualifications and experience; (b) strong background in materials processing and modelling technologies, and research project management; and (c) the capability to communicate with industrial
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projects on time with minimum supervision. Preference will be given to those with research experience in machines design, and development of computer programmes for numerical computation of electromagnetic