522 Design-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University
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Nanyang Technological University (NTU) is a leading research-intensive university in Singapore, committed to excellence in education, research and innovation. We are inviting experienced and
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: Designing, adapting, and executing scientific studies, mathematical models, or laboratory experiments. Project Management & Grants: Overseeing specific research projects, managing budgets, and assisting
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renewals, transfers, position upgrades, ensuring sufficient funding and complies with the guidelines. Ensure research manpower budgets and expenditures are aligned with funding agency guidelines. Plan and
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contribute meaningfully to our overarching commitment to sustainability and environmental stewardship, while fostering innovation in green building technologies and circular construction practices. Key
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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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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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scientifically lead Singapore’s deep underground development efforts enabling the nation to plan the use of its key resources (space, materials and environment) effectively in 3 dimensions. We are looking for a
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new theory, models and algorithms in the areas of computer aided design, geometric modeling, deep learning, LLMs, etc. Develop and implement algorithms and prototype tools for 3D content generation
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research. The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry. Demonstrated ability to formulate hypothesis and design effective experimental plans. Ability
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the Platform team within AI Products at AISG. In this role, you will be collaborating with different internal teams to design and implement optimized inference workflows and support the team to build