172 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" Fellowship positions at Nanyang Technological University
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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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fundamental understanding and practical applications of quantum correlations and information processing. We invite applications for a research position in quantum information science. The successful candidate
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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, patents, and publications. Job Requirements: PhD in Computer Science, Information Security, Engineering, or a related discipline. Research experience in software/system security, fuzz testing, or embedded
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requirements PhD in Physics, Applied Mathematics, Computational Science, or a related field Strong background in machine learning, particularly in the development and application of neural networks
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collaborators. Mentor junior colleagues and students. Write, present, and publish research findings in peer-reviewed journals. Knowledge and Experience Requirements: PhD degree in statistics, computer sciences
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strategic research development, programme-level integration, synthesis, dissemination, and collaboration activities. This role offers an exciting opportunity to contribute to centre-wide research outputs
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for project stakeholders and research dissemination. Job Requirements: PhD in Mechanical Engineering, Energy Engineering, Chemical Engineering, Applied Physics, or a closely related discipline. Technical
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Electronic, Optical Engineering or related field from a reputable University Expertise in application of AI Experience in condition monitoring or structural health monitoring Good publication track record
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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