686 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" uni jobs at National University of Singapore
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Unit: Office of Research Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 19/12/2025 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a
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pathways and interdisciplinarity in CET, so does the need for guidelines, coordination and policies rise. Job Responsibilities Responsibilities will include gathering information on potential new policies
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improve internship workflows, documentation and digital systems to enhance efficiency, scalability and compliance. • Collect and analyse student, employer and faculty feedback, and use data insights
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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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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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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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, 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
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(AiDP) Programme. The programme focuses on the development and validation of advanced AI methodologies, including image processing, computer vision, and mathematical modelling, for cancer diagnosis and