290 data-"https:"-"https:"-"https:"-"https:" uni jobs at Nanyang Technological University
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) students during their study in NTU. This position is instrumental in driving the digital transformation and data governance of academic services through the implementation of an integrated Academic Services
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The Senior Executive / Assistant Manager (Data & Digital Tools) plays a key role in enhancing the unit’s operational efficiency through data analytics, automation, and the development of digital
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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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“Green AI”. Job Description: Work closely with the Principal Investigator (PI) and interdisciplinary team members to support applied research and development projects at the intersection of data, AI, and
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Hyundai-NTU-A*STAR Corp Lab has a robotic pick and place project. We are seeking to hire a research associate to carry the computer vision part of the project. Responsibilities: Develop effective
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of being An Institute of Distinction: Leading the Future of Education and our mission to Inspire Learning, Transform Teaching and Advance Research. Read more about NIE here . The NIE Library and Information
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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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and setting up Datahub. As part of data services team, you will play a crucial role in enabling data-driven initiatives, enhancing operational efficiency, and supporting research and educational
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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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We are looking for a research engineer to perform data quality control, data processing and data assimilation of radar data for weather prediction purposes. The role will focus on data quality