1,362 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" "Univ" uni jobs in Singapore
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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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appointed as Lecturer or Senior Lecturer on the Educator Track. For more information about the college, please click https://news.nus.edu.sg/acacia-college/ and https://acacia.nus.edu.sg/ . Acacia College
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want to be part of a team that drives meaningful impact, we’d love to hear from you! Join us and be a part of shaping the future of finance at NUS! Website: https://www.nus.edu.sg/finance LinkedIn: https
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This position is responsible for the accurate, efficient, and compliant maintenance of the University’s Master Data, which underpins key financial and operational processes. The Senior Executive
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28 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Communication sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher
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skills Show strong initiative and take ownership of work Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409177/research-engineer-o… Requirements Additional Information STATUS
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. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409175/technician-foodplan… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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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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Office of Data and Analytics (ODA) at the Nanyang Technological University is seeking to fill a number of Senior Assistant Manager (Data and Analytics) positions. Job Responsibilities: 1. Generate
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Job Description Job Alerts Link Apply now Teaching Assistant (Statistics and Data Science) University-Level Unit: Science Faculty/Department-Level Unit: Statistics and Data Science Employee Category