266 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" research jobs at National University of Singapore
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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
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handling protocols Assist in improving lab workflows, implementing process enhancements, and maintaining equipment Support basic data entry and sample documentation for research reports and databases
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of sustainable, responsible, and green investing and valuation. The responsibilities of the role will include designing and developing a framework to distill various information regarding corporate
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with knowledge of metal 3D printing and hybrid construction. • Preferably with knowledge and skills in AI. • Open to fixed-term contract. More Information Location: Kent Ridge Campus Organization
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with minimal supervision and also collaborate with others. Applicants with prior writing experience are encouraged to submit a portfolio with their application documents. More Information Location: Kent
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fixed term contract. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Biomedical Engineering Employee Referral Eligible: No Job requisition ID