864 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions in Hong Kong
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degree in one of the above-mentioned disciplines or an equivalent qualification. Applicants should also have: (a) good computer literacy including MS Excel and Chinese word processing; (b) a good command
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in the project – “Self-paced learning platform powered by efficient graph retrieval-augmented generation”. Qualifications Applicants for the Postdoctoral Fellow posts should have a doctoral degree or
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for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper
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for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of applications will start from April 15, 2026 and continue until
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. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine learning, and data warehousing. Commitment to quality, integrity, confidentiality and compliance. Excellent
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post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk ) and upload an up-to-date C.V., and publications. Review of applications will start as soon as possible and
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Professors. Further information about the Faculty Global Talent Recruitment Scheme is available at https://www.med.cuhk.edu.hk/about-us/career. Strategic Recruitment Areas Applications are especially
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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. Applicants should also
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
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– “Machine learning platform for heterogeneous accelerator clusters”. They will be required to: (a) design and develop an efficient asynchronous checkpointing strategy during model training to enable rapid