1,997 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" positions in Singapore
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behavioral science will be a plus. The candidate will be expected to: Conduct and write systematic literature reviews and meta-analyses Coordinate and participate in fieldwork and data collection Conduct
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an emphasis on technology, data science and the humanities. NTU is a leading global university renowned for its excellence in education, research, and innovation. Ranked among the top universities in the world
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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
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advantage. Closing Date The closing date of the advertisement is 1 April 2026. We regret that only shortlisted candidates will be notified. Other Information NIE staff can take chartered buses at their own
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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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. Perform data management, large-scale statistical analyses, and ensure high standards of documentation and reproducibility. Work effectively with colleagues across the CTP and with local and international
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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