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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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following projects: Project #1 Title: Enhance Students' Interdisciplinary Learning through Large Language Model-Empowered Learning Analytics (MOE TRF 2/25 ZG) Project #2 Title: Building an Eco-system
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of Australia’s energy transition. As a Postdoctoral Research Fellow, you will contribute to the Grid Enhancement Technologies grants program funded by the Department of Climate Change, Energy, the Environment and
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sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for Tunnel Boring Machine (TBM) tunnelling and excavation Developing large language model enhanced
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Degree in engineering, computer science, physics, mathematics, statistics or related quantitative discipline (UK 2:1 or equivalent). Working understanding of modelling, machine learning techniques and
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The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims
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detailed within the AUA Competency Framework. Managing self and personal skills Being aware of your own behaviour and mindful of how it impacts on others, enhancing personal skills to adapt professional
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learning for defect detection or image analysis; (e) proficiency in CAD/CAE tools and engineering documentation standards; (f) hands-on experience in laboratory prototyping, testing, and data analysis
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education. The successful candidate will work at the intersection of child development, educational research, and emerging technologies to generate evidence that informs the age-appropriate use of AI
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Nanyang Technological University (NTU) invites applications for a Research Fellow position to support a MOE Tier 2 research project examining how Generative AI output design can enhance higher-order