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. Responsibilities include managing data collection and analysis, conducting literature searches and reviews, manuscript writing, and other research-related duties as assigned. A competitive salary commensurate with
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and psychometric instruments is mandatory. Preference will be given to applicants with knowledge of analyzing quantitative research data using advanced statistical tools (e.g., MPlus, R). Applicants
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projective representations of crystal symmetries and topological phases. assist in the preparation of reports perform other duties as assigned Requirements a Ph.D. degree in physics, or a related discipline an
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information about the Faculty can be found at https://facdent.hku.hk/. The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of
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-to-date C.V., with the contact information of at least 3 referees. Review of applications will start on Jul 14, 2025 and continue until Sep 19, 2025, or until the post is filled, whichever is earlier.
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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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Health or other related disciplines with at least 2 years of post-bachelor's work experience. Previous work experience in big data analysis, managing large databases of multiple research projects relating
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for the above post. Applicants should apply online and upload an up-to-date C.V., with the contact information of at least 3 referees. Review of applications will start on June 5, 2025 and continue until June 20
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an advantage. The appointees will work with the Principal Investigator on various research projects related to end-of-life-care for persons with disabilities and families. Major duties include advanced data