10 computational-linguistics Fellowship research jobs at Nanyang Technological University
-
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
-
-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
-
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
-
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
-
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
-
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
-
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
-
The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow. Key Responsibilities: Conduct research on Generative AI and large language models with
-
to non-data science audience using simple language. • Existing Publications in top-tier AI or computer vision journals/conferences, such as TMI, MIA, MICCAI, NeuIPS, ICLR, CVPR, ICCV, ECCV, AAAI
-
Research and Education in Singapore (CARES) , is a collaboration between Nanyang Technological University (NTU) and the University of Cambridge. CLIC is a flagship programme in the Science of Learning