1,341 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" uni jobs in Singapore
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programmes. Collect and analyse data on education systems in Singapore and internationally to support NUS’s overall admissions strategy. Collaborate with internal and external stakeholders to ensure a smooth
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action or input, in the Reporting Officer’s absence. Supervise various subcontractors works and ensure contractors’ compliance of work scope. Sourcing and collation of data in preparation for the annual
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administrative support, and undertake project management responsibilities to ensure the timely and high-quality delivery of project outputs. Key responsibilities: Conduct literature reviews, data collection and
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an emphasis on technology, data science and the humanities. The incumbent will coordinate the research efforts of the PIONEER IAF-PP programme, will ensure on-time reporting and monitor the progress. He/She
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information with discretion. Proficiency with productivity tools (e.g., Microsoft Office, Zoom). A proactive, flexible, and service-oriented mindset. Preference will be given to those who have Experience
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and Technology (ORT) to develop and grow industry partnerships and engagements: Strategic Leadership in Industry Partnerships: • Lead the strategic analysis of industry data to identify key sectors
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operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through
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National University of Singapore, Department of Statistics & Data Science Position ID: 3020-FACULTY [#26787] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Singapore
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, numerate, resourceful and energetic. Able to multi-task and deliver under tight deadlines. Proficiency in SAP or S/4HANA, Microsoft Office applications, and data visualization tools. More Information
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to the development and operationalisation of an AI Governance Framework. SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and