741 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "U.S" positions at Nanyang Technological University
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Research Associate (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)
solutions Requirements: Master’s degree in Artificial Intelligence, Computer Science, Optimization, Computational Linguistics, or a related field. Strong foundations in multi-agent systems, NLP and python
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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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developing scalable binary analysis frameworks, AI-driven program understanding techniques, and automated security testing pipelines for embedded MCU and SOC platforms. The candidate will collaborate closely
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We are seeking to appoint a Research Associate who will contribute to NTU’s mission of advancing software security and intelligent software engineering, with a focus on automated program repair (APR
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systems. The role involves developing scalable binary analysis frameworks, AI-driven program understanding techniques, and automated security testing pipelines for embedded MCU and SOC platforms
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data
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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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are legally independent entities working in close collaboration in joint facilities. Programme Manager We are seeking a highly organised and proactive Manager to support programme coordination, executive
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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