2,051 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Singapore
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referees with contact details (who will be contacted only if shortlisted). In accordance with the Personal Data Protection Act (PDPA), please provide consent for the collection, use and disclosure
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funding matters. Manage academic-related events for graduate students, as well as programme outreach, publicity, orientation and adhoc student events. Consolidation and preparation of data and statistics
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environment. 8. Open to Fixed Term Contract. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral
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, etc). • Responsible for the sterilization of surgical equipment and instruments and ensure that all equipment and instruments are in proper working condition. • Provide information / education on
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a high-tech satellite ground station at the National University of Singapore. The Centre operates multiple dish antennas that track, receive and process data from remote sensing satellites orbiting
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an emphasis on technology, data science and the humanities. Our team’s mission is to understand how the brain works in both normal and diseased states. We are particularly interested in neurodevelopment, what
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guide Utilise low-code platforms such as UiPath, and Outsystems to develop automated applications Ensure data integrity, security and proper error handling Perform testing and quality assurance activities
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research grants in the above areas Job Requirements: A PhD degree in Computer Science, Data Science, Engineering, or a related field. Research experience in Computer Vision, Image Processing, Multimedia
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agreements in compliance with funder requirements and University policies. Provide information to faculty and research staff on funding opportunities and grant calls. Review grant applications for completeness
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designs are production-ready. Support development of test rigs, SOPs, and quality benchmarks for scaled stack validation. Analyze test data and drive design improvements based on real operating feedback