1,376 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Singapore
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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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on musculoskeletal health in occupational and community settings. Design and implement cohort-wide studies using questionnaires, interviews, and real-time task observations. Collect multimodal data via motion-capture
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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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experience, offering hands-on experience in integrating spatial data with qualitative and survey-based insights. The project team consists of Principal Investigator (PI) Professor Elaine Ho (Department
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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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members and assessments. • Liaising with faculty members and communicate unambiguously to provide and/or exchange information accurately in all situations. • Provide administrative support to both
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an emphasis on technology, data science and the humanities. The PRECISE-SG100K is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has completed recruitment
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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