2,005 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" 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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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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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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recruitment events, such as information sessions and external outreach activities. • Deliver excellent student support, ensuring a positive experience and high levels of satisfaction throughout the programme
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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 of personal data, using
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or closely related discipline by date of appointment, with a specialisation in methods for digital data collection, analytics, and/or visualisation. Evidence of excellence in computational communication
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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