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Unmanned Underwater Vehicles (UUV). Applicants are invited to contact Miss Samantha M. S. Sin at telephone number 3400 2543 or via email at samantha.sin@polyu.edu.hk for further information. Conditions of
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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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infectious disease data using statistical and/or mathematical approaches would be highly desirable. Experience in statistical analysis, and proficiency in statistical and computer modelling software (e.g. R
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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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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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· support the organization of dissemination events · assist in the preparation of reports · perform other duties as assigned Requirements a Ph.D. degree in Physics, Materials Sciences or Electronic
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- School of English - Faculty of Dentistry - Department of Civil Engineering - School of Computing and Data Science - Department of Electrical and Electronic Engineering - Department of Mechanical
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Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. They should also arrange 3 referees to send reference letters to Prof. Wang YAO by email (wangyao@hku.hk ) directly. Review of applications
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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