35 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" research jobs at Hong Kong Polytechnic University
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of Level 2 in New Senior Secondary subjects/“Attained” in Applied Learning subjects/Grade E in Other Language subjects, and the five subjects must include English Language, Chinese Language and Mathematics
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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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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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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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multi-agent language learning platform: Personalized tutoring and contextual simulation”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited
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- “Investigating the role of variability in written and spoken Chinese: learning Chinese characters using multiple fonts, adapting to regional varieties of accented Mandarin speech”. He/She will be required to: (a
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computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should have an honours degree or an equivalent
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disciplines; (b) have a good knowledge of data analytics, artificial intelligence and programming skills; and (c) be willing to learn translational research methods, data processing and data analysis
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twelve months] Duties The appointees will assist the project leader in the research project - “A multimodal intelligence-enabled strategy learning approach for cognitive human-robot collaborative assembly