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estate, with 76.2% of residents living in public housing. It is also a super-aged community, with 22.2%of residents aged 65 and above. In 2021, Queenstown was designated Singapore’s first Health District
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entrepreneurship network, expand internship opportunities in emerging innovation hubs, and enhance students’ entrepreneurial and international exposure. The role is responsible for building and managing strategic
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technologies by combining psychological principles, large language models, privacy-preserving learning and safety-aware system design. The Research Associate will contribute to one or more of the following
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The Centre Manager will help oversee the strategic and day-to-day management of the research centre. Plan, coordinate, and monitor multiple research, testing, and industry projects to ensure timely
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place-based initiatives such as community gardens, neighbourhood health projects, and urban design interventions -Conduct scoping and/or systematic reviews and meta-analyses of related initiatives - Link
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environment. The research contributes to improving material safety, reducing carbon footprints, and fostering innovation aligned with the university's mission to support resilient and sustainable infrastructure
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Job Description The Singapore University of Technology and Design (SUTD) is a young and innovative university with a unique educational structure and a mission to create a better world by design
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be required to: • Support the design, development, and evaluation of multi-agent AI models and intelligent agent architectures. • Develop specialized medical knowledge and memory-layer frameworks
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Research Associate (Materials Science & Engineering / Mechanical Engineering / Chemical Engineering)
, high-level industry collaboration, comprehensive facilities and resources have positioned it as a leading hub for 3D printing research and innovation globally. We are seeking a highly motivated Research
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, including BIM-based SLAM, traversability map analysis, and 3D LiDAR/vision sensor fusion. • Design few-shot learning algorithms for robust detection of temporary construction objects and obstacles