227 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at Nanyang Technological University
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Research in regenerative medicine and 3D cardiac organoids Key Responsibilities: Assist in experiments including
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, please view https://www.ntu.edu.sg/spms We are looking for a Research Fellow to complete the project on low dimensional quantum materials and devices and ensure the success of the project and support other
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machine learning and AI acceleration. Perform performance, power, and area (PPA) analysis of processor and accelerator designs. Publish research findings in top-tier conferences and journals and contribute
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. Learn more about our lab at https://www.richardshelab.com/ . Key Responsibilities: Design and lead a novel research project aligned with your scientific interests and the lab’s experimental strengths
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accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform performance, power, and area
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independently and as part of a team Experience with machine learning and AI applications in engineering is advantageous We regret to inform that only shortlisted candidates will be notified. Hiring Institution
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research. We are looking for a Research Fellow to work on the thermal catalysis for CO2
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Research Fellow / Associate Research Fellow / Senior Analyst / Research Analyst (Military Studies Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang
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A Postdoctoral Fellow position is available in Prof. Tong Ling’s Lab (https://www.tonglinglab.com ) at Nanyang Technological University, Singapore. The successful candidate will work with our
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low