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writing or updating Data Management Plan (DMP) and data flow documentation. • Data Quality & Reporting - Generate routine data status reports for PM, PI, and site teams. - Assist in data reconciliation
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policy development that governs and ensures consistency in quality and value across NUS’ portfolio of master’s programmes and non-credit continuing education opportunities. NUS’ mission has shifted
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resolution. Qualifications Bachelor’s degree in Business Administration, Operations, Project Management, or related field; advanced degree is a plus. 5–8 years in operations, program management, or similar
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participation in periodic reviews of laboratory safety and compliance. Main duties and responsibilities Wet Lab (Experimental) Plan, execute, and troubleshoot daily experiments independently or collaboratively
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thousand students. AACSB and EQUIS accredited, the School offers undergraduate, master’s (including MBA and EMBA) and doctoral programmes and is affiliated with a number of active research centres such as
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and outreach programmes at the St. John's Island National Marine Laboratory (SJINML). The job scope also includes assisting in the management and operations of the Marine Park Outreach Education Centre
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Job Description Apply now Job Title: Management Assistant Officer (Operations), ChBE Posting Start Date: 26/03/2026 Job Description Operations Coordination • Responsible for the administrative processes and arrangements for academic visitors • Provide full secretariat support to the Head...
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and PhD students on computational mathematics and AI methodologies. Job Requirements: A PhD degree in Applied Mathematics, Computer Science, Engineering, or a related quantitative field. Deep expertise
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We are looking for a research staff who will be responsible for study of charge transport in tribovoltaic processes and the electromechanical properties of 2D piezoelectric materials for acoustic wave device applications. The research staff should have a solid background in numerical calculation...
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, teaching, and student engagement in AI-for-Science courses and seminars. - Support the development and deployment of AI-driven tools for High-Performance Computing (HPC) applications. Qualifications