61 high-performance-computing Fellowship positions at Nanyang Technological University
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perform independent and collaborative research to meet the project objectives, and to publish high-quality journal papers to promote the international reputation of the school and the University. Key
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-performance composite fibres with enhanced electrical, mechanical, and thermal properties. The role also develops thermal-management materials for efficient heat dissipation, contributing to advanced materials
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, emission via the spintronic THz emitter, and detection using a photoconductive antenna. Development of computational algorithms to achieve high-resolution THz imaging. Prepare, write, and contribute
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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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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg
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intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg
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apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and inverse design. Perform high
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ATMRI at NTU is seeking a Research Fellow to conduct applied research in airport and airspace capacity, demand management, delay, operational performance, and sustainable aviation. The role will
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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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. For NeuroAI focus: Analyze high-dimensional brain data, document results and carry out an independent research project. For NeuroAI focus: Develop and apply new machine learning and computer vision methods