638 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University
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government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore
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mentors, community partners, host universities and relevant NTU teams. The role combines programme coordination, stakeholder engagement, data management and process improvement, with opportunities
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environment conducive to student success and lifelong learning. The Assistant Manager (Data Analytics) will support data-driven decision-making across SASD through data analysis, dashboards, reporting, and
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reports, as well as, collaborate with the research team. Job Requirements PhD in Cybersecurity, Computer Science, Information Security, Electronic or Communication Engineering, or a related discipline
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Environmental Engineering (CEE). For more information, please visit: https://earthobservatory.sg , https://ntu.edu.sg/ase , and https://ntu.edu.sg/cee . We are looking to fill a total of 5 Research Assistant
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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to this classification, as directed Job Requirements: A Master’s degree in computer science, data science, information science, digital humanities Experience with social science/humanities/arts research methods Python
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The Office of Data and Analytics (ODA) at Nanyang Technological University is seeking a Senior Assistant Manager, Data and Analytics to support NTU’s strategic decision-making through rigorous data
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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management, research expertise, managing and day-to-day research operations, such as data storage, budgets, expenses, assets, and ethics approvals. Key Responsibilities: Develop, validate, and deploy AI