1,995 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" "UNIV" positions in Singapore
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The role supports institutional reporting and data management related to Continuing Education and Training (CET). It involves coordinating and consolidating data across multiple systems and CET
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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, test, and optimize AI software systems for various medical tasks, ensuring their applicability and accuracy in real-world medical environments. Utilize data storage technologies to manage multimodal
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self-report data from parents and home-interveners across structured program sessions, with a focus on culturally adapted, scalable approaches to supporting positive parenting and child development in
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The Solutions Analyst/Architect will play a key role in driving Nanyang Business School’s digital transformation agenda by designing and implementing automation and data-driven solutions across
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and coordinating board-related activities. This role also involves assisting in the organisation and analysis of risk management data to support informed decision-making. Board Secretariat Support
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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execution. With a strong focus on data-informed decision-making, you will provide strategic insight on research performance and influence, while contributing to a research environment that supports diverse
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individual to join our Academic Analytics team as Manager, Quality Assurance and Educational Analytics, working closely with the Assistant Dean for Educational Evaluation to advance data-driven quality
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-driven workflows for curating, augmenting, and analyzing scientific literature data. The role focuses on designing rule- and agent-based approaches to assess data completeness, infer missing experimental