16 natural-language-processing Fellowship research jobs at National University of Singapore
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Job Description The Natural Language Processing Group at the National University of Singapore invites applications for Senior Research Fellow in the Department of Computer Science, School
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, or related disciplines Experience in signal processing and machine learning or natural language processing is required Strong analytical and programming skills Strong publication track record Strong
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Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these
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risk data mall. Alternatively, the unstructured text data in accident report could be mined with Natural Language Processing (NLP) techniques to validate the performance of our proposed multi-source data
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Job Description The Natural Language Processing Group at the National University of Singapore invites applications for Research Fellow in the Department of Computer Science, School of Computing
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Job Description The Natural Language Processing Group at the National University of Singapore invites applications for Research Fellow in the Department of Computer Science, School of Computing
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About the Centre for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum
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Job Description The Natural Language Processing Group at the National University of Singapore invites applications for Research Fellow in the Department of Computer Science, School of Computing
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concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on knowledge-graph approaches to address the data integrity issues
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on natural language processing and generation (NLProc, Large Language Models or LLMs, Computational Linguistics). You will be handling and contributing to research and innovative findings in a team, leading to