485 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Nanyang Technological University
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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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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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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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on matters related to the project, purchasing equipment and software, and answering queries about the project. Job Requirements: At least a PhD in information studies, information science, or related social
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/research
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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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, Computer Science, FinTech, or related fields; strong statistical background. Experience with BERT, LSTM, GRU architectures, and financial risk modeling. Proficient in Python, Linux, and open-source LLM platforms