693 engineering-computation-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University
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-dimensional material systems, contributing to NTU’s leadership in physics, materials science and engineering research. Key Responsibilities: Conduct independent and collaborative theoretical and computational
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and Electronic Engineering, Nanyang Technological University. Key Responsibilities: Establish a theoretical framework to study the charge generation and transport in tribovoltaic processes using
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The AI4X Postdoctoral Fellowship supports outstanding early-career researchers who leverage Artificial Intelligence (AI) to accelerate breakthroughs across science, technology, engineering, and
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Management, and escalate unresolved at project team level. Requirements: Degree in Computer Science, Computer Engineering, or equivalent. Certified Project Manager, either CITPM or PMP certified, with at least
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of Singapore Indoor Farming System
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to improve the software engineering process in Continental, especially requirement engineering and testing Conducting the research in combining AI techniques with formal methods techniques (especially program
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of computer science and engineering. Responsibilities: Conduct lectures, tutorials and laboratory duties. Conduct coursework assessment, grade assignments/quizzes/tests/projects in accordance with the guidelines
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infrastructure/system operations in School of Chemistry, Chemical Engineering and Biotechnology (CCEB) Ensure that all program and department operations run seamlessly. Manage the implementation of infrastructure
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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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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation