507 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" positions at Hong Kong Polytechnic University
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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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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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literature reviews to support the research framework; (b) undertake data collection, management, and analysis in alignment with project objectives; (c) coordinate and monitor project activities to ensure
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project - “Automated monitoring traffic data system for detector status and non-recurrent events”. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification and must have
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) collect and analyse research data; (c) undertake subject recruitment, administrative work and project operation; and (d) perform any other duties as assigned by the project leader or his/her delegates
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the recruitment of participants and data collection for the study; (d) assist in data management and data analysis; (e) assist in the preparation of reports and presentation materials; (f) liaise with various
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are invited to contact Dr Fang Ruirui at telephone number 2766 4582 or via email at rui-rui.fang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be
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, data collection and analysis) to evaluate system prototypes; (d) support in preparing related documentation; and (e) perform any other duties as assigned by the project leader or his delegates
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to contact Prof. Zhang Chen at telephone number 2766 4901 or via email at jason-c.zhang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered
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improvement of the Office’s operational efficiency by identifying opportunities for process automation and streamlining, with a focus on HR systems and workflows; (d) support data extraction and data