497 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" uni jobs at Nanyang Technological University
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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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-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
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processes for postgraduate students: a) Verify and analyse applicant information for accuracy, relevance, and completeness to ensure informed decision-making. b) Database management–maintain data
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NTU’s Wee Kim Wee School of Communication and Information seeks an Assistant Manager to join our graduate research programmes team. The successful candidate will manage the graduate research
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Engineering, Mechanics, and Electrical Engineering, or a related field. Good written and oral communication skills in English - essential for data analysis and communication with stakeholders Excellent skills
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& Culture Strengthening Support administration and collection of wellbeing survey data across units. Monitor participation and support analysis of survey and feedback data to inform programme improvements
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the day-to-day coordination of the project, conducting data collection with children, and contributing to the development of machine learning and deep learning models for early prediction. The research
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Environmental Engineering | NTU Singapore Key Responsibilites: Rigorous study design. Wet-lab experiments. Perform in-depth, critical data analyses. Effectively communicate through presentations and high-quality
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the Open Science and Research Services function with the Office of Information, Knowledge and Library Services (OIKLS). The successful candidate will provide research services to support NTU researchers in
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Corporate Laboratory is seeking to hire a Research Associate. The selected candidate will focuses on analyzing equipment degradation time-series data and developing forecasting workflows using statistical