830 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "UNIV" "Univ" positions at Nanyang Technological University
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The Office of Information, Knowledge and Library Services (OIKLS) at Nanyang Technological University seeks a passionate individual to transform library spaces to meet evolving needs of users and to
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reporting to funder. Assist with compilation of data on 5th tranche funding for financial reporting purposes. Liaise with different stakeholders and build strong relationships with NIE Finance and MOE. Lead
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for machine learning Competent in soft skills / general personality traits e.g. information visualization, interaction design We regret to inform you that only shortlisted candidates will be notified. Hiring
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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policies and support year-end audit/tax filing processes Ensure SOPs are properly documented Manage research project financial data and system to ensure timely and accurate grant submission in accordance
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who enjoy working in a fast-paced academic environment and engaging multiple stakeholders. Key Responsibilities: Analyze and consolidate various data to support Undergraduate Programmes decision-making
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of academic activities and events. Ensure accurate record-keeping and smooth delivery of teaching and programme operations. Participate in TCM clinical research by supporting patient recruitment, data
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guide Utilise low-code platforms such as UiPath, and Outsystems to develop automated applications Ensure data integrity, security and proper error handling Perform testing and quality assurance activities
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an emphasis on technology, data science and the humanities. Our team’s mission is to understand how the brain works in both normal and diseased states. We are particularly interested in neurodevelopment, what
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research grants in the above areas Job Requirements: A PhD degree in Computer Science, Data Science, Engineering, or a related field. Research experience in Computer Vision, Image Processing, Multimedia