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Chinese; (c) have good teamwork and interpersonal skills; (d) have experience in psycholinguistic methodologies for data collection and analysis; and (e) be proficient in computer programming with
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equipments such as EDX, XRD, TEM, 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
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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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the project leader in the research project - “Advanced sensor array signal processing for sensing and communications”. Qualifications Applicants should have: (a) a master’s degree or an equivalent
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for wearable devices and carry out material performance testing programmes; (d) optimise material formulations and manufacturing processes; (e) collaborate with design, electronics, and mechanical teams
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, Human-Computer Interaction, Interactive Media, Media and Communication or related disciplines with extensive related experience. Applicants for the Research Assistant post should have an honours degree in
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significant passion in the field of “one-health”; and (c) be reliable in data processing. Preference will be given to those with experience in conducting survey and relevant work. Applicants are invited
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will assist the project leader in the research project - “Jockey club smart ageing hub”. He/She will be required to: (a) provide general support to the daily operation of the Day Experience Centre
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- “Environment and conservation fund - converting waste plastics into value-added products: process design, simulation, and feasibility analysis”. Qualifications Applicants should: (a) have an honours degree
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) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific