788 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " positions at Nanyang Technological University
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: Qualification: A bachelor’s degree in computer science, computer engineering, electronics engineering or equivalent. Strong background and experience in machine learning and computer vision. Prior experience in
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Requirements: PhD qualification degree in Aerospace Engineering, Transport, Mechanical Engineering, Computer Science, or other related fields. At least three (3) years of relevant research experience in air
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CINTRA is a French-Singaporean joint research laboratory, a CNRS International Research Laboratory under the French Ministry of Higher Education and Research. It is a collaboration between the
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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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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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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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CYSREN was established to address these concerns through multi-disciplinary research and development around cybersecurity, leveraging NTU’s core competencies in Engineering, Exact Sciences
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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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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Work closely with research and engineering
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. Requirements: Master’s degree in Electrical/Electronics Engineering, Computer Science, or a closely related discipline. Strong foundation in software engineering for intelligent systems, including machine/deep