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experimental data analysis and management Drafting proposals, reports and presentations relevant to the projects Liaising with project collaborators and partners Performing various laboratory administrative
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. Information about the Department can be obtained at http://www.psychiatry.hku.hk/ . A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and
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knowledge and/or background in the area. Previous experience in one of the following areas, including assessment and feedback, curriculum design, e-learning, data analysis, and advanced statistical skills
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questionnaires, Literature review, data collection, management, analysis, and manuscript writing Communication with the different staff members and partners in promoting cross-disciplinary research, Arrange focus
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satisfactory performance and funding availability. Information about the Department can be obtained at https://fmpc.hku.hk/ . The appointee will have the opportunity to join a highly interdisciplinary research
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studies, specifically with mouse models. Proficiency in computer skills, including Microsoft Office (e.g., Word, Excel, PowerPoint) for data management and reporting. Desirable Skills: Proficiency in
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13 Mar 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Hong
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-seq and single-cell data analysis, and able to work independently and in a team. Preference will be given to those with work experience in immunology, AIDS and SARS-CoV-2. The appointee is expected
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experience in one or more of the following areas: development of methods for multi-omics data integration, application of machine learning models in life science, single cell data analysis and spatial
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Senior Research Assistant (SRA) in the Sau Po Centre on Ageing within the Faculty of Social Sciences
, Statistics, or a related discipline with at least 3-year post-qualification experience. Previous work experience in big data analysis, managing large databases of research projects relating to family