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-science and signal-analysis tasks, including processing experimental signals, integrating datasets, developing machine-learning models, and mapping measured fuel properties to SAF performance. For the post
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the project leader in the research project - “Empowering language education in the AI era: Developing students’ self-regulated learning skills in English speaking”. He/She will be required to: (a) conduct
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Computer Science, Artificial Intelligence, Data Science Engineering or a related discipline; (b) demonstrated expertise in foundation models, generative AI, multimodal learning, machine learning systems, model
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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related field; (b) hands-on experience with programming (e.g., Python); (c) an interest in AI, machine learning, signal processing, or human-computer interaction; and (d) a passion for creating
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- “Experimental investigation into the mechanisms of plasma-assisted combustion for green liquid propellants”. Qualifications Applicants should have: (a) a doctoral degree, preferably in machine learning‑driven
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
. Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences or a related discipline, with a strong background in technology-enhanced learning and assessment, learning design and
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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have: (a) an honours degree in Biomechanical Engineering, Apparel and Textile Design Technology, Machine Learning, Data Science or related disciplines or an equivalent qualification; and (b) good
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learning and LLM libraries; and (d) have experience with data collection and processing in medical/health-related tasks in Chinese/Cantonese is a plus. Applicants are invited to contact Prof. Chersoni