Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
an interdisciplinary team setting. Enquiries about the post should be sent to Professor Tao Ni at taoni@hku.hk . A highly competitive salary commensurate with qualifications and experience will be offered, in
-
on research projects related to health service research and/or global healthy aging promotion, and assist in research grant application, project leadership, data analysis and research dissemination. A highly
-
the Division of Neurology of the Department of Medicine, School of Clinical Medicine (Ref.: 532032) We now invite applications for the captioned post. Duties and Responsibilities Assist in collaborative multi
-
participate in a highly interdisciplinary research project. Enquiries about the duties of the post should be directed to Professor Elly Ngan at engan@hku.hk . A highly competitive salary commensurate with
-
at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. They should also arrange 2 referees to send reference letters to Professor Zhong Wan by e-mail (zhongwan@hku.hk ) directly. Review
-
. They should have solid knowledge of chemistry and biology, and an excellent command of spoken and written English and Chinese. Experience in bioinformatic data analysis including microbiome, virome and
-
psychosis and mental health. He/She will conduct independent scholarly research, lead projects, prepare manuscripts and reports, and assist in the supervision of junior research staff and students
-
schools in Hong Kong. Duties and Responsibilities conduct surveys and focus group interviews, and analyze data collected handle the administrative work and logistics, including liaising with project schools
-
of neurodegenerative disease, hard-to-cute diseases, depression and pain. He/she will perform related research analysis, conduct clinical study, write reports and papers, assist in supervising postgraduate students and
-
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