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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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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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the project - “Enhancing operation engagement for HTI”. He/She will be required to: (a) provide administrative support to academic programmes, teaching and learning matters; (b) handle data collection and
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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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to structural biology, protein engineering, machine learning, molecular cloning, in vivo experiments, and/or CRISPR technology. Candidates must exhibit a strong command of written and spoken English, and
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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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. Requirements A Ph.D. in data science, statistics, psychology, public health, social sciences, or related disciplines. Proficiency in statistical analysis, data mining, predictive modeling, and machine learning
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attached to the socio-cultural environment of the Chinese and English languages. The appointee will be required to teach courses in some of the following areas: Computer-aided Translation, Public Relations
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Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed