247 computer-programmer-"https:"-"https:"-"UNIS"-"https:"-"https:"-"https:"-"UNIV" positions at Nanyang Technological University
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other duties relevant to the programme of research. Job Requirements: Master’s degree in Computer Science, or a related discipline; Have a solid foundation in Machine Learning and Computer Vision. Strong
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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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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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the nation’s education service. We play a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. We are committed to our vision
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advance research in computer vision, machine learning, and/or robotics for the digitalization, monitoring, and automation of civil infrastructure. The role will focus on developing innovative methodologies
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Key Responsibilities: Assist in computationally
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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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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, 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