44 phd-position-in-database-modeling Postdoctoral positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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of reports · perform other duties as assigned Requirements a Ph.D. degree in Physics, Materials Sciences or Electronic Engineering at least 1 year’s relevant working experience (including PhD research
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immunology, deep learning models and/or artificial intelligence, as well as hands-on experience with cell culture, cellular/molecular biology, and animal studies. The ideal candidate should be self-motivated
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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
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, tissue culture or primary cell culture models, b) ability to work with infectious small animals, or c) omic-science. The appointee will conduct research projects related to emerging agents of hepatitis
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), to commence as soon as possible, on a one- to three-year temporary contract, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree
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availability and satisfactory performance. Applicants should possess a PhD degree in kinesiology, exercise science, public health or related disciplines. Applicants should have a strong sense of responsibility
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, molecular and cell biology, and animal models. Skills in bioinformatics are advantageous. Candidates should be highly motivated and have a track record of publications in international journals. The appointee
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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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the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree in Biology or related disciplines, preferably with experience in virology research
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Biology, Immunology, or a related discipline. Experience in cancer research using various animal tumor models would be an advantage. The appointee will work together with a research and development team