156 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" Fellowship positions at National University of Singapore
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. The successful candidate will conduct literature reviews, produce research summaries, pen research plans, recruit participants, and ensure compliance with research ethics and data privacy requirements. This role
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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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/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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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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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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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
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responsibilities will include: Prepare biological samples for TEM, including fixation, staining, sectioning, embedding, and mounting. Perform TEM imaging and support data acquisition and basic image analysis
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of migrant nurses, providing valuable information on the nations that migrant nurses pass through, the time they spend in each place, and how their migration patterns might shift in response to recruitment