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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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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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and data pipelines to enable real-time data acquisition and closed-loop control. Collaborate with AI researchers to implement machine learning models for adaptive experimental design and autonomous
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and verbal forms. ▪ Detail-oriented, proactive, and resourceful. ▪ Discreet handling of confidential information. ▪ Ability to work independently and as part of a team. ▪ Strong interpersonal skills and
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fieldwork investigations (physio-ethnography), conduct participant-observation, ethnographic and oral history interviews, data entry and analysis, interview transcription and drafting of publications and
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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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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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, 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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an emphasis on technology, data science and the humanities. SG100K, spearheaded by Prof. John Chambers, is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has