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: The ethnolinguistic repertoires and linguistic practices of Malay and Indian bilinguals in Singapore [NIE-SUG 3-23 JSH] Project Introduction: This mixed-methods research project explores how the ethnolinguistic
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language models. Over 3-year research experience in the above required areas Experiences in computer vision is preferred. Excellent publication track record on top tier conferences/journals Proficiency in
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optimizing large language models. Implement reinforcement learning algorithms to improve language models alignment. Develop systems for efficient and systematic experimental data collection. Assist in
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-supervise of MSc and Final Year Project students involved in this project. Job Requirements: PhD in Computer Science, or related field. Strong expertise in natural language processing and large language
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Requirements: PhD in Computer Science, or related field. Strong expertise in natural language processing and large language models Over 3-year research experience in the above required areas Excellent
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research experience in machine learning, deep learning, computer vision. Mastering of a programming language would be valued (e.g. Python, Matlab…) Self-driven, highly motivated, with interest to work with
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The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. Key Responsibilities: Responsible for performing quality assessment for 3D digital asset
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, model building, and management of research projects. If you have a background in computer science and a strong interest in medicine and large language models, this position may be ideal for you
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ranks 4th in the field of Electrical & Electronic Engineering in the 2021 QS World University Rankings by Subjects. Our team is seeking to hire a talented researcher in the area of computer vision and
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Research Funding Programme seeks to advance knowledge of child bilingualism, and bilingual/biliteracy development in a diverse multilingual society through the use of research methodologies from cognitive