521 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"MPG" positions at Nanyang Technological University
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calendars, coordinating meetings, handling sensitive information and stakeholder engagement. The ideal candidate will be a highly organized and resourceful individual with excellent communication skills and
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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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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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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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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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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
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designs are production-ready. Support development of test rigs, SOPs, and quality benchmarks for scaled stack validation. Analyze test data and drive design improvements based on real operating feedback
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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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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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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