247 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" research jobs at Nanyang Technological University
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group’s research advances polymer network design to achieve high mechanical performance for the evolving demands of modern technologies. For more details, please view https://www.ntu.edu.sg/mse/research
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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 We are seeking a research assistant. The role
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to a deeper understanding of material behaviors, paving the way for the development of next-generation high-performance materials. For more details, please view https://www.ntu.edu.sg/mse/research and
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, please view https://www.ntu.edu.sg/newri We are seeking a highly self-motivated individual to join the Nanyang Environment and Water Research Institute (NEWRI) as a Research Fellow. The successful
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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 We are looking for a Research Fellow to focus
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work in strategic directions that are of significant impact to industry, science and technology. For more details, please view https://www.ntu.edu.sg/cee . We are looking for a Research Fellow to work
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The National Institute of Education invites suitable applications for the position of Research Assistant on a 24-month contract at the Science of Learning in Education Centre . Project Title
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teamwork and verbal, written communication skills In-depth knowledge of computer vision and deep learning Demonstrated capability to conduct innovative research We regret that only shortlisted candidates
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, please view https://www.ntu.edu.sg/newri . The Nanyang Environment and Water Research Institute (NEWRI) invites applications for the position of Research Fellow. Key Responsibilities: The candidate will be
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programming skills in Python and familiarity with AI/ML frameworks. Good understanding of LLM architectures, transformer models, and machine learning fundamentals. Experience with model serving / inference