956 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at National University of Singapore
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of Fine Arts to conduct user journey mapping and develop user archetypes through arts-based engagement approaches. • Triangulate quantitative and qualitative data to generate practice-oriented insights 2
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appointed survey partner. IPUR’s responsibilities for the 2026 UNGRR include design of the survey, data cleaning, data analysis and the preparation of a Sense-making Report. A Research Assistant/Associate is
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courses or programmes, and communicate effectively with students and faculty. Provide support to the organization and operationalization of examinations assigned. Assist in compiling data for relevant
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field, preferably with teaching and post-doctoral research experience and is able to contribute towards major collaborative programs in engineering. More Information Location: Kent Ridge Campus
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biomedical laboratory work; assist with experimental workflows as required Qualifications Diploma in Biotechnology, Biomedical Science, or a related field Basic computer proficiency (email, Microsoft Office
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responsibly. Commitment to full-time, on-campus work at NUS Business School. Preferred Qualifications Prior research experience in accounting or finance projects. Familiar with text or image data processing
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/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial Intelligence, or a related discipline from a strong institution. Skills
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context
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. Teaching and research experience in Health Economics / Econometrics are highly desirable. Experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling
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phases are as follows: Phase 1 – Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis