645 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" "Univ" research jobs in Singapore
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field studies Develop and validate instruments for psychological and behavioural assessment in urban settings Conduct data analysis using relevant statistical, spatial, or computational tools with
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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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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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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
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partners Organisation of meetings Coordinating with other team members Conduct literature reviews Assist in development of data collection pipeline in makerspaces Support participant screening, recruitment
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research strategic development and securing funding Support research data management and documentation Job Requirements: PhD degree in Mechanical/Electrical Engineering or related field At least 1 years of