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be given to those with related work experience in the fields of computer science and programming. Applicants are invited to contact Dr Ken Wan Kin at telephone number 2766 4471 or via email at kin.wan
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field; (b) be proficient in programming languages such as Python; (c) have an excellent command of both written and spoken English; (d) be able to work effectively on their own and as part of a
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skills; and (c) rich program coding experience. Applicants are invited to contact Prof. Richard T. R. Qiu at telephone number 3400 2636 or via email at richard.qiu@polyu.edu.hk for further information
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an outstanding publication record in high-impact peer-reviewed journals or top-tier conferences; (d) have strong analytical, programming, or experimental research capabilities aligned with the thematic focus
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degree or an equivalent qualification, preferably in Computer Science, Engineering, Signal Processing, or a related field; (b) hands-on experience with programming (e.g., Python); (c) interest in AI
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project - “Training verification for the elderly: developing a metaliteracy program based on web-track data and large language models”. He/She will be required to: (a) assist in data analysis; and (b
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interests and programming skills in Python, with experience in deep learning frameworks. Applicants are invited to contact Dr Shi Danli at telephone number 2766 4825 or via email at danli.shi@polyu.edu.hk
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five years of post-qualification experience at the time of application; (b) strong econometrics background; (c) strong programming skills; and (d) rich knowledge of demand forecasting
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implementing all aspects of research, including data collection and analysis; (b) support the development and implementation of research plan; (c) liaise with internal and external parties and stakeholders
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for the Research Associate post should have a master’s degree or an equivalent qualification with experience in programming, software engineering or new media art engineering. Applicants for the Research Assistant