786 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Nanyang Technological University
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pioneer research and innovation for a better future, to contribute to the betterment of society and humanity. We are looking for a Research Associate to support the development of data-driven solutions
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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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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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an emphasis on technology, data science and the humanities. We are seeking a motivated Research Associate to support a haematology image-analysis project, contributing to the development of machine-learning and
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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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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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mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles Conduct computer programming to verify the efficiency of the designed solution
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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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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