70 high-performance-computing Fellowship positions at Nanyang Technological University
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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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models and metrics for fairness in decentralized environments. Develop prototype systems and perform experiments on real-world datasets and platforms. Publish research outcomes in high-quality venues and
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-invasive skin delivery and diagnostics Perform high-quality research and disseminate findings through peer-reviewed publications and academic conferences. Initiate new collaborations with external
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to enable high quality work in strategic directions that are of significant impact to industry, science and technology. The Senior Research Fellow will contribute to leading the development of an AI-assisted
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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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undertake the responsibilities towards the development of new photopolymers and biomaterials. Key Responsibilities: Operate nano-computed tomography (nano-CT) systems to perform high-resolution 3D imaging
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to enable high quality work in strategic directions that are of significant impact to industry, science and technology. The Research Fellow will contribute to the development of an AI-assisted, data-driven
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‑on experimental support where required, while guiding junior researchers and fostering a high‑performance research culture. Engage actively with stakeholders across academia, industry, and other partner
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of Research Associate/Research Fellow will focus on developing advanced high throughput phenotyping tools for assessing the performance of genotypes under abiotic and biotic stresses that occur in indoor
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contract basis, renewable subject to performance and project needs. Project Title: Profiling Academic Trajectories and Heterogeneity of Low-Progress Learners for Enhancing Learning Support (PATHS) Project