421 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University
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The Senior Executive, Learning Systems & Tech and Course Registration is responsible for end-to-end academic administration and digital learning support to ensure accurate, compliant, and seamless
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computer science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines; A strong research background and publication record in relevant areas such as LLMs, agentic AI, Digital Twin
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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journals and conferences Good research experience in AI and machine learning as well as wireless networking Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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As part of NTU’s Learning & Talent Management team, you will play a pivotal role in shaping NTU’s enterprise‑level people development narrative in support of the NTU2030 vision. This role is about
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for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations of the designed algorithms and systems. Help with research
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an emphasis on technology, data science and the humanities. We are seeking a highly motivated Learning Technologist to join our Digital Learning team, with a strong focus on curriculum content development and
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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scheduling and resource allocation problems for machine learning pipelines deployed in safety-critical cyber-physical systems. Close collaboration with PhD students involved in the project. Participate in
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large