651 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" "LaTIM Brest" research jobs in Singapore
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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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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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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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, education, and urban environmental design. In particular, the project will investigate how exploratory cognitive states – inferred from wearable physiological sensors, motion capture, and behavioral data
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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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. 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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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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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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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