349 computer-science-quantum "https:" "https:" "https:" "https:" "U.S" research jobs at Nanyang Technological University
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We invite applications for a Research Fellow to join an interdisciplinary research team led by Dr. Sing Yian Chew (NTU). The successful candidate will contribute to an ongoing research program
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practices. Job Requirements: A Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a closely related field. Strong research background in AI and machine
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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vibrant community of faculty, researchers, and students working across multidisciplinary areas such as geotechnical engineering, water and environmental systems, materials science, and computational
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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Electrical Engineering, Computer Engineering, Physics, or a closely related discipline. At least 3 years of relevant research experience in microwave and RF device modelling and design. Strong background in
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: Develop and implement high-fidelity CFD and FEA simulation workflows for modelling heat
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Electronic Engineering, Computer Science, Mechanical Engineering or related field 3-year research experience in related area Expertise in robotic manipulation systems Knowledge in robotic foundation models