502 data "https:" "https:" "https:" "https:" "Dublin City University" positions at Hong Kong Polytechnic University
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stations to support on-site data collection, including both quantitative and qualitative data; (b) coordinate recruitment of patients, screening, health assessment and follow up; (c) support the CCAF
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) assist in conducting literature review and database searching; (b) liaise with collaborators for system development; (c) support on-site data collection; (d) carry out preliminary data analysis
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of the activities; (f) assist in the recruitment of participants and publicity by using social media; (g) liaise with collaborators and project team members; (h) assist in data entry; and (i) perform any
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the longitudinal healthy longevity study: Objective health measures and cancer awareness screening”. He/She will be required to: (a) assist in the general management of the project; (b) assist in data
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. Applicants are invited to contact Prof. Carman K. M. Lee at telephone number 3400 3899 or via email at ckm.lee@polyu.edu.hk for further information. Conditions of Service For full-time appointment, a highly
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-qualification experience at the time of application. Applicants are invited to contact Prof. Xu Zhenglong at telephone number 2766 6590 or via email at zhenglong.xu@polyu.edu.hk for further information
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Samantha M. S. Sin at telephone number 3400 2543 or via email at samantha.sin@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered
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Science disciplines. Applicants are invited to contact Prof. Hongyu Yu at telephone number 2766 7804 or via email at hongyu.yu@polyu.edu.hk for further information. Conditions of Service A highly
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from school to work”. He/She will be required to: (a) assist in project implementation, including preparation of project materials, literature review, data collection, data entry and analysis as
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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