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undergraduate and postgraduate modules in areas such as: • Fundamentals of Robotics • Control Systems and Mechatronics • AI and Machine Learning for Robotics • Embedded Systems and Intelligent Sensors
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, 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 grow'. We welcome you to join our community
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understanding of machine learning/deep learning fundamentals. Able to appreciate and explain the mathematical workings of common algorithms for computer vision/NLP/tabular data. Hands-on skills in Python-based AI
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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data processing, ship hydrodynamics, ship performance analysis, machine learning algorithms; Proficiency in written and spoken English - essential for data analysis and communication with stakeholders
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and strategies at an institute of higher learning. Strong working knowledge around pedagogy, data science, software design, machine learning, AI, cybersecurity, data and AI governance framework
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geophysical investigation, data analytics, and machine learning. Key Responsibilities: The Project Officer should be familiar with geophysical investigation, data analytics, and machine learning. The Project
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machine learning, network science, and statistical modelling. Design, implement, and evaluate computational pipelines for data collection, processing, and analysis from diverse sources (e.g. patent records
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low