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the Cardiovascular Research/Genetic and Molecular Epidemiology in the Department of Medicine, School of Clinical Medicine (Ref.: 532027) We now invite applications for the captioned post. Duties and Responsibilities
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the functional title of Senior Data Analyst)/Research Assistant I/II in Cardiovascular and Genetic Epidemiology of the Department of Medicine, School of Clinical Medicine (Ref.: 532028) We now invite applications
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: Pathology Categories: Academic-related Staff Applications are invited for appointment as a Post-doctoral Fellow (Ref 531819) in the Breast Cancer Genetics Research Laboratory, to commence as soon as possible
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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
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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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of the following research fields – mouse preimplantation, embryonic stem cells, trophoblasts, and animal genetic-related research works. Applicants should have strong communication skills in both English and Chinese
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manipulation of genetically-modified mice Enquiries about the posts should be sent to antibody@hku.hk . What We Offer The appointment will commence as soon as possible on a temporary basis for 1-3 year(s), with
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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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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