791 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at Nanyang Technological University in Singapore
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conducting in-depth literature reviews on topics such as social cohesion, religiosity, ethnicity, and nationalism, as well as carrying out multivariate analyses on cross-national data to assess social cohesion
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NTU’s Research Information SystEm (RISE). Manage project database and repository to ensure regular, timely updates and tracking of all key project-related information (e.g., project approval, closure
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findings and increase outreach. Support follow-up on collaborative and engagement activities with partner organisations, government agencies, and early-childhood networks, including coordinating information
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groups, IAP meetings. Ensure accurate, timely data collection, analysis, reporting, and documentation to support accreditation reviews and curriculum improvement. Undergraduate Academic Operations Provide
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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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focused on the integration of non-conventional geothermal energy (EGS/AGS) into data centre cooling systems in Singapore, including geothermal-assisted cooling architectures, absorption chilling, heat pumps
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of organisational changes and institutional developments to ensure operational alignment. Serve as the School’s main liaison for data management, including data extraction, consolidation, analysis, and reporting
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(Word, Excel, PowerPoint) Proficiency with quantitative data analysis using statistical analysis software such as SPSS, Mplus, and R Possess strong interpersonal communication skills and good analytical
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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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