42 computing-optimization Fellowship research jobs at Nanyang Technological University
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Engineering Design and Optimization Human Factor and Ergonomics AI-based Sensor Fusion Monitoring and Inspection using various sensors Optimization and control to implement sensors. Skills: FEM software (Comsol
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view https://www.ntu.edu.sg/sc3dp/ We are looking for a highly motivated Research Fellow to join our multidisciplinary team aiming to optimize the silica glass additive manufacturing parameters and
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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focus on simulation, prototyping, lab testing and developing smart connectors for modular floating breakwaters. Key Responsibilities: Design and build connector models Simulation and optimization
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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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high-quality research in top-tier conferences and journals. Design and implement multimodal LLM architectures that integrate vision, language, and action for embodied AI systems. Develop and optimize
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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the Respiratory and Infectious Diseases programme and is building a dynamic and interdisciplinary research environment to uncover how viral infections drive inflammation, neurological injury, and musculoskeletal
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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