385 learning-"https:"-"https:"-"https:" positions at Nanyang Technological University
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The National Institute of Education invites suitable applications for the position of Research Fellow on a 5-month contract at the Learning Sciences & Assessment Department . The RF will work on the
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NTU PACE is the continuing education and training arm of Nanyang Technological University (NTU), supporting lifelong learning and workforce development through industry-relevant programmes
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, and mathematical data science, with an active programme at the interface of dynamical systems, machine learning, and quantum information. The position sits in the GOAL group (GeOmetry, dynAmics, and
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The Centre for Quantum Technologies at NTU invites applications for a Research Fellow position in Quantum-Enhanced Learning, Agents and Algorithms. The successful candidate will conduct independent
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The National Institute of Education invites suitable applications for the position of Research Assistant on a 24-month contract at the Learning Sciences and Assessment Department . Project Title
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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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of being An Institute of Distinction: Leading the Future of Education, and our mission to Inspire Learning, Transform Teaching and Advance Research. Read more about NIE here . We are seeking a pedagogically
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an emphasis on technology, data science and the humanities. The Senior Executive will support Digital Learning in the planning, procurement, governance and financial management of enterprise digital learning
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an emphasis on technology, data science and the humanities. LKCMedicine is seeking a reliable and detail-oriented Part-Time Learning Technologist to support the Education/Digital Learning team. The role offers
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, computational efficiency, and deployment of large AI models while maintaining high model performance. The ideal candidate has a strong research background in large language models (LLMs), efficient deep learning