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Fast-track Integrated Bachelor’s and Master’s Degree Programmes and will launch a new master programme, MSc in Mathematics for Artificial Intelligence Technology in 2026/27. Members of the Department
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Research Assistant. The appointee will work closely with the Principal Investigator and the project team, to support the strategic development of a new large-scale research program on AI in education
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be
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Department of Computing Research Assistant (Ref. 251218004) [Appointment period: around three months] Duties The appointee will assist the project leader in the project - “Developing an LLM-based
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. Applicant(s) should possess a Ph.D. degree, or equivalent, in biological or computer sciences or a related discipline. Experience in any of the following fields, including 1) biological image acquisition
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Department of Computing Part-time Research Assistant (Ref. 251112006) [Appointment period: six months] Duties The appointee will assist the project leader in the project - “Developing an LLM-based
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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) have solid computer science fundamentals, and proficiency in Python programming; (c) be skilled in common databases, with strong operational and maintenance abilities; (d) have excellent
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development and implementation of deep learning models for the automated analysis of multimodal ophthalmic imaging data; (b) assist in integrating generative AI techniques into edge computing platforms
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Department of Logistics and Maritime Studies Research Assistant (Ref. 251027001) [Appointment period: six months] Duties The appointee will assist the project leader in the research project - “A machine learning-enhanced algorithm incorporating domain knowledge for sustainable maritime...