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management and data analysis; (d) assist in systematic search and review of the literature; (e) prepare written reports, manuals and literature reviews for the project; and (f) perform any other
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questionnaires; (c) conduct data collection; (d) conduct data processing and analysis; (e) liaise with project collaborators; and (f) perform any other duties as assigned by the Head of Unit or his
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work of the project; (b) conduct data collection and analysis for both quantitative and qualitative studies, including survey administration, statistical analysis, interview transcription, thematic
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Applicants should: (a) have a master’s degree or a good honours degree with three or more years of research/relevant work experience; (b) be familiar with legal document drafting and case analysis
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controlled trial in Guizhou, China". They will be required to: (a) conduct literature review; (b) collect quantitative and qualitative data; (c) assist in data management and data analysis; (d
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Research Fellow / Postdoctoral Fellow /Research Associate / Research Assistant (Full-time/Part-time)
months] Duties The appointee will assist the project leader in the research project - “Ultrahigh-resolution optical vector analysis for broadband photonic devices”. Qualifications For the post of Research
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School of Design Part-time Research Assistant (Ref. 250813019) [Appointment period: two months] Duties The appointee will assist the project leader in the research project - “Multiple component
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the research project - “Large-scale linear stability analysis of complex flow problems and its application”. Qualifications Applicants should have a master’s degree in Engineering. Preference will be given
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management. They will be required to: Post 1 of Research Assistant (a) conduct mechanical design and analysis for innovative space applications; (b) source and select components for research prototypes
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value ESG innovation? – Evidence from the US patent “Lottery””. He/She will be required to conduct large-scale textual analysis, match various datasets, and run simple regression analyses. Qualifications