2,032 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" positions in Singapore
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skills, as well as the ability to work independently. As the assessment tools have already been established and implemented, the project is now at an exciting stage focused on high-quality data collection
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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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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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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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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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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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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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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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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