2,035 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" positions in Singapore
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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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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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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
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Lin School of Medicine, NUS that advocates flexible and innovative working culture. Successful candidate will be part of a team of Data Scientists and Software Developers who partner clinicians
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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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management for at least 2 years after graduation, preferably in the field of education or psychology, research and analysis Experience in data collection Skills to carry out literature reviews Strong skills
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in the field of Electrical & Electronic Engineering in the 2021 QS World University Rankings by Subjects. We are looking for a Predoctoral researcher who can work as a Data Scientist, Machine Learning
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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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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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HOP Tool (HOP V1) and preliminary tool completion guide. In Phase 2, HOP V1 will be piloted with K2 educators and will be refined into HOP V2 based on psychometric data and stakeholder feedback. In