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opportunities for innovative technologies; (c) explore and evaluate emerging technologies, including AI, to enhance teaching, learning and administrative processes; (d) pilot digital solutions and provide
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problem-solving skills; and (i) have excellent organisational skills and attentive to details. Candidates with familiarity with text data/natural language processing methods will be a plus. Applicants
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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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- “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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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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) 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
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- “Environment and conservation fund turning sewage sludge into green hydrogen and e-fuel with carbon-neutrality goals in Hong Kong: innovative process design, optimization, economic viability and environmental
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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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Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, applicants should have strong background in materials processing technologies, especially for light alloys