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the possibility of renewal subject to satisfactory performance and availability of funding. About the ORIGINS COLLECTIVE The ORIGINS COLLECTIVE at The University of Hong Kong is a newly established research
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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
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the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in bioinformatics, genetics, computational biology or other relevant disciplines. Experience in cancer research and/or
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533551 Work type: Full-time Department: Faculty
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commence in March 2026 on a two-year fixed-term basis with contract-end gratuity, with the possibility of renewal subject to satisfactory performance and funding availability. The appointee will work in a
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10 Jan 2026 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Medical sciences Chemistry Researcher Profile Recognised Researcher
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Deadline 6 Apr 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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Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data and disseminate it through peer-review journals or other means Draft proposals, reports and
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for one to two years, with the possibility of renewal subject to satisfactory performance and funding availability. Requirements Applicants should possess a Ph.D. degree in Materials Science, Biochemistry
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conducting high-quality biological or chemical research. Demonstrated history of writing reports and scientific articles based on research results. Research Skills : Strong background in various research areas