244 phd-studenship-in-computer-vision-and-machine-learning 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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manufacturing, mechatronics, innovative design, nanotechnology, and biomedical and computational applications. Key Responsibilities: The research fellow will be leading the development of AI-based decision-making
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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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Requirements: PhD in a relevant area (e.g. epidemiology, health science informatics). Candidates who have successfully defended their thesis or dissertation are welcome, subject to evaluation on a case-by-case
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Fellowship Programme) and with external partners. Job Requirements: Candidates must have a PhD in one of the relevant fields of Asian Studies, international political economy, political science, public policy
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research publications and present findings at conferences and seminars. Job Requirements: PhD in Electrical Engineering, Physics, Optical Engineering or other related fields Relevant experience / technical
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Responsibilities: To develop process for cooling high-power electronics To fabricate device prototypes of such cooling device Conduct research and experiments at the MAE laboratory facilities Supervise and guide PhD
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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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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