38 computer-programmer-"Multiple"-"U.S" Postdoctoral positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533004 Work type: Full-time Department: School of Biomedical Sciences
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Kong Application Deadline 31 Dec 2025 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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) Country Hong Kong Application Deadline 18 Sep 2025 - 00:00 (UTC) 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
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Application Deadline 30 Sep 2025 - 00:00 (UTC) Type of Contract Temporary 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
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demonstrate a strong sense of responsibility and have a good command of written and spoken English. The ideal applicant is self-motivated, detail-oriented, and capable of managing multiple tasks. Good
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independently and in a team. Priority will be given to those who have solid research experience in the field of education. The appointee will assist the Lead Researcher to conduct landscape research and multiple
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: Ability to manage a research programme financially and administratively under the guidance of the Principal Investigator. Ability to work independently with excellent problem-solving skills, collaborate
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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strong sense of responsibility and be able to work independently and in a team with different stakeholders. The appointee will work on a research project that evaluates the effects of a programme designed
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the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R