494 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"M.V" positions at Nanyang Technological University
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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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Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with
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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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on musculoskeletal health in occupational and community settings. Design and implement cohort-wide studies using questionnaires, interviews, and real-time task observations. Collect multimodal data via motion-capture
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an emphasis on technology, data science and the humanities. The PRECISE-SG100K is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has completed recruitment
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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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are: Strategic Frameworks & Data Analytics Lead the strategic development and implementation of university-wide frameworks, including the Achievements and Service Record (ASR). Oversee the design and management
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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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closely with the project team to perform task assigned. Key Responsibilities: Conduct literature search and conceptualize theories to methodology Conduct qualitative and/or quantitative data analysis Lead
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-driven workflows for curating, augmenting, and analyzing scientific literature data. The role focuses on designing rule- and agent-based approaches to assess data completeness, infer missing experimental