514 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Nanyang Technological University
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and PhD students on computational mathematics and AI methodologies. Job Requirements: A PhD degree in Applied Mathematics, Computer Science, Engineering, or a related quantitative field. Deep expertise
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General Elective and will be offered to students taking NTU EEE MSc Communications Engineering, Computer Control & Automation, Electronics, Power Engineering, and Signal Processing & Machine Learning with
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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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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 implementation of NIE’s Automation Empowerment Programme, a flagship initiative under the Technology Roadmap for the Future of Education (TRFE) (https://www.ntu.edu.sg/nie/about-us/nie2025-strategic-vision/TRFE
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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Part-Time Lecturer for EE7207 Neural Networks and Deep Learning The School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University, Singapore, invites qualified candidates
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We are seeking an administrative staff to assist the program director to run the administration for the postgraduate by coursework programme. This position offers an opportunity to gain valuable
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data Resolve technical problems Perform technical research and technical report writing Requirements: Bachelor’s degree in Mechanical, Electrical and Electronic, Optical Engineering or related field from
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The School of Materials Science and Engineering (MSE) provides a vibrant and inter-disciplinary research environment in key areas such as computational materials science, nanomaterials, low