257 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" Fellowship positions in Singapore
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The NTU Centre in Computational Technologies for Finance (CCTF) is an inter-collegiate and pan-university initiative, managed by the Graduate College (GC), with support from College of Computing and
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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. We are looking for a Postdoctoral Research Fellow to
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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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collaborative research projects, develop novel computational algorithms, and contribute to high-quality publication and grant-related activities. The position offers opportunities to work in a dynamic research
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD’s degree in Computer Engineering, Computer Science, Electronics
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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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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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Research Fellow to run research at the intersection of quantum-safe identity and authentication, zero-knowledge proofs (ZKPs), and AI security. The goal is practical, deployment-ready security: solid
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Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and
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Job Description Job Alerts Link Apply now Job Title: Research Fellow, School of Computing Posting Start Date: 05/01/2026 Job Description We are the NUS Avant Lab, led by Prof. Jingxian Wang (https