23 computer-programmer-"University-of-Reading" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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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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(R3) Country Hong Kong Application Deadline 30 Apr 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
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technical skills in next generation sequencing, including library preparation and bioinformatics analysis. Experience in developing bioinformatics pipeline and maintaining computer server would be
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, fluent in written and spoken English, and competent in basic computer database management. Familiarity or experience with gene sequencing or gene manipulation will be an advantage. The appointee will be
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independently. The appointee will mainly work for the Programme for International Student Assessment (PISA) 2025 in Hong Kong. He/She will provide assistance to the National Project Manager in coordinating and
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projects related to sexual health, infectious diseases, and/or health promotion, with the major contributions to developing and implementing a personalized Artificial Intelligence (AI) program system
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Bioinformatics, Computing/Programming, or a related discipline. Experience in using PMNN, ESM2 and RFdiffusion would be an advantage. The appointee will work in collaboration with research teams focusing
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particular, conducting literature reviews and conceptualization, proposing evaluation plan for interventions, facilitating data collection and analysis, paper-writing and conducting some knowledge exchange
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essential good computer skills in infographics What We Offer The appointment will commence in May 2025 and last until end of June 2026. A highly competitive salary commensurate with qualifications and
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Sciences, Chemistry, Physics, Computer Science, or related disciplines with a strong background in computational methods and machine learning. Experience in materials informatics, high-throughput