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Responsibilities: 1. Research activities: Data collection, data management, and statistical analyses of medical data Perform predictive analytics of learning and usage data. 2. Research publications: Manuscript
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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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analytics, and machine learning. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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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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road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting
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, or multiome analysis. Strong analytical, problem-solving, scientific writing, and communication skills. Preferred education/experience Experience with machine learning, deep learning, or foundation models
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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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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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Responsibilities: Conduct project related research on geophysical/geomechanical investigation, geomodelling, data analytics, and machine learning. Responsible for processing and analyzing geophysical/geomechanical
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interferences. Method evaluation and validation – You may learn to prepare validation plans, assess performance characteristics such as accuracy, precision, analytical measurement range, limits of detection