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, proteomics and metabolomics data A good command of written and spoken English Strong communication skills A demonstrated track record of publishing academic research papers Self-motivated, hardworking, and
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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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availability and satisfactory performance) Applicants should possess a PhD degree in Nursing, Social Sciences, Social Work, Statistics, Public Health or related disciplines. They should have a good command of
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discipline. They should demonstrate good knowledge of quantitative and/or qualitative analysis; have a good command of written and spoken English and Chinese (advantage); have good interpersonal skills and a
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perform other duties as assigned Requirements a doctoral degree highest academic qualification preferably in education or related disciplines an excellent command of written and spoken Chinese (including
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virus infection would be an advantage. Applicants should have a good command of written and spoken English, strong communication skills, a strong sense of responsibility, and the ability to work
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of academic publication is advantageous. They should have a good command of written and spoken Chinese (Cantonese) and English, advanced knowledge and experience with statistical software (e.g., SPSS, R, Stata
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year work experience (fresh graduate will also be considered). They should have a good command of written and spoken English and Chinese (including Cantonese and Putonghua) and good computer literacy
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. They should have solid knowledge of chemistry and biology, and an excellent command of spoken and written English and Chinese. Experience in bioinformatic data analysis including microbiome, virome and
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of deliverables, financial reporting, report writing and research. They should have a good command of written and spoken English and Chinese; good administrative and organisational skills; and the ability to work