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The appointees will assist the project leader in the research project – “Listenability of disclosures: Evidence from machine learning”. Qualifications Applicants should have: (a) an honours degree or
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network and customer engagement with machine learning”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification, preferably a master’s degree or above; and (b
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) research and develop novel deep learning models for medical image analysis; (c) research and develop novel XR paradigms/algorithms for computer-assisted surgery; (d) research and develop novel learning
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machine learning model evaluation for smart building services”. The appointee will be required to: (a) write and programme the advanced AI Large Language Model algorithm and framework; and (b
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-qualification experience at the time of application; (b) advanced knowledge of statistical analysis (Stata, R and Machine Learning); (c) sufficient experience in managing questionnaire surveys and
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Computer Science or a related discipline or an equivalent qualification; (b) considerable experience and excellent academic record in automated software engineering and/or machine learning; (c) strong
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qualification; (b) strong background in extensive model optimisation on machine learning algorithm; and (c) good communication skill in English. Applicants are invited to contact Prof. Kay Chen Tan
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- “Risk-aware machine learning systems for safety and quality-critical applications”. He/She will carry out research in the area of machine learning (ML) and data science, and also be required to: (a
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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai
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and energy materials. Preference will be given to those with knowledge of computer programming, AI or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766