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Chinese (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and statistical modeling as well as the design and validation of performance assessment
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skills, and an excellent command of written and spoken English and Chinese are essential (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods 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
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Bioinformatics, Computer Science, Medical Informatics, biostatistics or a related discipline, with a good research publication record and strong programming skills. Preference will be given to those with previous
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temporary or a 2 to 3-year fixed-term basis for RAP, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in Computer
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independently and as a team. Knowledge and experience in using mixed research methods are highly preferred. A strong publication track record on peer-reviewed academic journals and research grants will be
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adequate knowledge of quantitative research methods, as well as a good command of written English. Experience and passion in research topics of palliative and end-of-life care and public health will 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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) and perform any other duties as assigned. On-the-job training related to research and statistical methods will be provided. A highly competitive salary commensurate with qualifications and experience
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executing mixed-method research (observational studies, focus groups, interviews, surveys) under the supervision of Principal Investigator (PI) Performing quantitative and qualitative analysis under