1,027 data "https:" "https:" "https:" "https:" "Linköping University" positions in Hong Kong
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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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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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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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) 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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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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of the project, including data collection, compilation of statistical reports and report writing; (c) prepare and keep proper records of project documentation, including presentations; (d) provide
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at telephone number 2766 6537 or via email at yanghong2.zhou@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications
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at telephone number 2766 6189 or via email at weihua.gu@polyu.edu.hk or Dr Wenbo Fan at telephone number 3400 3337 or via email at wenbo.fan@polyu.edu.hk for further information. Conditions of Service A highly
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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