57 high-performance-computing-postdoc Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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14 Feb 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher
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Deadline 30 Jun 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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Deadline 15 Mar 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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refinement Coordinate research projects, including ethics applications, data collection, and study logistics Administer questionnaires, manage research databases, and perform quantitative data analysis Conduct
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Fellow (several posts) in the School of Chinese Medicine (Ref.:534854), to commence as soon as possible for a period of one year with the possibility of renewal subject to satisfactory performance
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, pursuant to relevant terms of employment. Duties and Responsibilities Produce high quality research on the research priorities and clusters of both FOSS (HKU) and ISR (Michigan) Support FOSS and ISR
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or equivalent, with 3 years’ related work experience, or a Ph.D. degree in a relevant discipline; (ii) solid statistical and computing skills; (iii) effective communication skills in both written and
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the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a doctoral degree (Ph.D.) in Stem Cell Biology, Molecular Biology, Developmental Biology, or a
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Responsibilities Drive research activities towards defined goals and priorities within a specified timeline Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data