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Methods The appointees will be mainly responsible for (a) engaging in teaching and learning activities; (b) supporting academic programme coordination and management; (c) organizing research events (e.g
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goals Identify and integrate emerging technologies (e.g. cloud computing, AI and data analytics) to optimize university operations and user experiences Stakeholder Engagement: Collaborate with academic
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research in the state-of-the-art areas in artificial intelligence, natural language processing, large language models, and computer vision; (2) secure external competitive research grants in various funding
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journals in the field of large vision models, computer vision, and so on. Additionally, the appointees will be responsible for submitting grant proposals to various funding bodies. Furthermore
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Major with the Department of Economics. The Department hosts an MSocSc Programme in Comparative Social Policy (International) (IMCSP) and has been successful in attracting MPhil and PhD students from
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The appointee will be expected to (a) support and lead in conducting high quality research; (b) engage in teaching and learning activities in the areas specified above; (c) support academic programme management
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activities; (b) support academic programme management; (c) organise research events and experiential learning activities (e.g., conferences, seminars and student field trips); (d) play a liaison role between
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a relevant data science, computer science, business, information systems, artificial intelligence, or other relevant areas; (ii) at least 3 years’ experience in teaching relevant courses and relevant
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to organize conferences, seminars, reading groups, workshops, and other related research activities; (ii) play a central role in the daily operation of the upcoming new Taught Postgraduate programme(s) offered
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duties as required by the supervisors. General Requirements Candidates should have (i) a doctoral degree in a relevant data science, industrial engineering, computer engineering, computer