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model development; and (d) possess a basic understanding of brain-inspired learning methods and Large Language Models (LLMs). Applicants are invited to contact Prof. Wu Yujie at telephone number 3400
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tutorials, supporting student learning, grading assignments and examinations, providing constructive feedback to students, maintaining course-related records and databases, and facilitating communication
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the project leader in the research project - “Project LEO (Learn-Execute-Overcome): An LLM-driven CBT journalling supporter to reduce procrastination among young adults”. He/She will be required to: (a
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. For the post of Research Assistant, applicants should have an honours degree or an equivalent qualification. For both posts, applicants should have relevant research experience in ultra-precision machining
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project - “Smart manufacturing in ultra-precision machining”. Qualifications Applicants should have a Master’s degree or a good honours degree with three or more years of research/relevant work experience
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upon our proud traditions and strengths by engaging in innovative, high-impact, and leading-edge research and development, creating a learning environment that maximizes the potential of all students
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expertise in LLMs; (b) strong self-directed learning capacity to assimilate foundation model building; and (c) commitment to open, reproducible and high-value AI research. Applicants are invited
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interviewing: Impact on the teaching and learning of professional English”. He/She will be required to: (a) assist in the recruitment of focus group candidates; (b) conduct focus group meetings with
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The appointees will assist the project leader in the project - “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning
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- “Flipped learning development project”. Qualifications Applicants should have a higher diploma or a diploma or an equivalent qualification in the appropriate discipline plus at least 3 years’ relevant post