420 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"FEUP" positions in Hong Kong
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experiments on ancient silk artefacts; (b) perform multi dimensional characterisation of silk artefacts and simulated samples, ensuring compliance with laboratory protocols and data traceability; (c
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(b) be proficient in data programming for data collection, textual analysis (Python, Stata or SAS) and English reading. Applicants are invited to contact Prof. Lisa C. Z. Sun at telephone number
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intervention and knowledge transfer; (c) prepare educational, promotional and research-related materials for project dissemination and stakeholder engagement; (d) assist in data collection, data entry and
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; compensation and benefits; staff development and training; staff appraisal, reward and sanction matters, etc.; (c) search, collate and compile information / statistics independently under the guidance
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experience. Applicants are invited to contact Miss Meng Xin at telephone number 5514 1912 or via email at 25060588g@connect.polyu.hk for further information. Conditions of Service A highly competitive
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) perform information updates and maintenance of accounts for the e-learning system; (c) conduct housekeeping in classrooms and laboratories; (d) assist in the setting up, operation and maintenance
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) handle information flow and maintain an effective record and filing system; (h) supervise clerical/supporting staff in the Director’s Office; and (i) perform any other duties as assigned. Qualifications
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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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) assist in data management; (c) provide support for the preparation of research material; (d) offer consultation about Objective Health Measures; (e) perform Point-of-care testing (POCT) for data
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experience. They should also have a strong publication record in laboratory-based research and clinical data analysis. Applicants are invited to contact Prof. Chien-Ling Huang at telephone number 3400 8602