1,397 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Singapore
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readiness). Design targeted curriculum interventions (modules, workshops, micro-learning) for student segments with weaker employment outcomes, using data from GES, career coaching insights, and employer
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drivers in an increasingly complex, global arena for Singapore’s benefit. Key responsibilities Provide high-quality analytical and advisory inputs to support GC strategic initiatives. Develop data-driven
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of assigned events. • Evaluate events through feedback and data analysis to drive continuous improvement. • Prepare and present regular reports to management, offering insights and recommendations
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) in institutional- and ministry-level reporting, including the compilation, validation, and analysis of PGC data. Oversee and approve updates to the Graduate Programmes Listing on NTU’s website
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an emphasis on technology, data science and the humanities. We are seeking accomplished and highly motivated Research Assistant/Associate to join an Industry Alignment Fund - Pre-Positioning (IAF-PP) grant
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with generative AI chatbots is a plus Responsibilities: Do literature review and develop research instruments Manage data collection and data analysis Assist with project reports and presentations Lead
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initiatives, programs and projects in AI and data science. ● Develop partnerships and maintain relationships across key stakeholders from academia and industry. ● Support the team in exploring potential
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reactions, or transport mechanisms. • Experience in data-driven modeling or machine learning applied to membrane materials or separation performance analysis is a strong advantage. • Candidates with strong
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the organisation’s website to ensure content is accurate, up-to-date, and engaging. • Content Management: Upload new content (articles, press releases, images, videos, event announcements) and ensure information
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the Office and the teaching staff to conceptualize new research projects as well as work on current projects/data for promoting and measuring interdisciplinary and collaborative learning amongst students. Key