955 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" positions at National University of Singapore
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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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Job Description Job Alerts Link Apply now Research Fellow (Power Electronics) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Electrical and Computer
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independently as well as to be an effective team player; resilient and adaptable Comfortable with data and data analytics, legal technology and systems Energetic, interest in developing leadership, management and
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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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intelligence and professional discretion More Information Location: Kent Ridge Campus Organization: S'pore Nuclear Rsch & Safety Institute Apply now
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printing and some electronics knowledge will be advantage. • Background knowledge in machining and computers/workstations is an advantage. More Information Location: Kent Ridge Campus Organization
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candidates will be part of a multi- disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This specific role will provide you with a unique
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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