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. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large accounting or finance datasets, or have a proven record in utilizing APIs and
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Department of Data Science and Artificial Intelligence Postdoctoral Fellow (Ref. 260417012) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research
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Department of Computing Research Fellow (Ref. 260417017) [Appointment period: eight months] Duties The appointee will assist the project leader in the research project – “Large-scale AI-empowered
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Department of Data Science and Artificial Intelligence Research Assistant (three posts) (Ref. 260420001) [Appointment period: each for twelve months] Duties The appointees will assist the project
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postgraduate courses in linguistics and professional communication courses, and supervise student projects. The candidate will also support large‑class teaching, such as course material development, course
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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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support on foundation models and generative AI systems; (b) explore advanced techniques in foundation large language models and multimodal large language models, with a focus on pre-training, post
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three years of relevant experience; (b) preferably have experience in a large or academic library; (c) have strong general computer literacy with proficiency in standard office applications; (d
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and managing information effectively, including using AI tools for learning and research; (b) develop the Library’s information literacy programmes, actively collaborating with Faculty to integrate
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The appointees will assist the project leader in the research project – “Privacy-preserving computing enabled federated Large Language Model systems”. Qualifications Applicants for the Postdoctoral Fellow post