909 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" positions at National University of Singapore
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Yih-Cherng Liou (NUS), along with Dr. Caroline Wee (IMCB, A*STAR) are looking for a bioinformatician or data scientist to contribute towards a multi-omics integration effort of transcriptomics
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 12/02/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS
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an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems. We invite applications for a Research Assistant position in the area of efficient
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(Senior) or Research Associate to join our team at CARE. This role offers an excellent opportunity to gain hands-on experience in project management, mixed-method research, data analysis, and scientific
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programmes. Collect and analyse data on education systems in Singapore and internationally to support NUS’s overall admissions strategy. Collaborate with internal and external stakeholders to ensure a smooth
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on data collection, data cleaning, data management, and basic statistical analysis using SPSS and/or R, with opportunities to contribute to figure/table generation and external reports and publications
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data collection activities, ranging from online surveys (e.g., Qualtrics) to in-person data collection cleaning, managing and updating large datasets throughout the course of the studies assisting with
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of our intelligent operations. As an AI & Systems Engineer, you’ll design and scale the systems that power our AI agents and data-driven workflows — from API integration to cloud architecture and data lake
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. Reconciliation & System Updates Perform reconciliation of receipts and update records across systems (e.g. SAP and TMS). Ensure data integrity and consistency between systems. 4. Funding & Payment Tracking Update
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attention to detail and accuracy. Strong proficiency in Microsoft Excel, including advanced features such as PivotTables, XLOOKUP/VLOOKUP, and data validation, complemented by solid data cleaning, analysis