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Part-Time Lecturer for EE7207 Neural Networks and Deep Learning The School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University, Singapore, invites qualified candidates
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, machine learning, and deep learning models. Key Responsibilities: Develop and apply time-series forecasting methods for semiconductor equipment health monitoring. Analyze equipment degradation data
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, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and
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, as well as the related investments. We are looking for an Assistant Director (I&E Ecosystem Development) at NTUitive to play a pivotal role in shaping NTU’s deep-tech and venture ecosystem. This is a
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background in AI, deep learning, and data analytics. Experience with multimodal data integration and analysis. Proficiency in programming languages such as Python, MATLAB, or R. Experience with signal
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The candidate will be expected to work on a project in collaboration with Schaeffler to conduct research on “collision monitoring and control system of cobot based on fiber optic sensing and deep
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good knowledge of Efficient Learning for computer vision Coding Skills: 1. Familiar with any of the major deep learning libraries, including Pytorch We regret to inform that only shortlisted candidates
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in machine learning and deep learning Knowledge and experience in wireless communications and radar Knowledge and experience in statistical signal processing Knowledge and experience in 5G networking
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safer, more efficient, and sustainable mixed-traffic future. Key Responsibilities: Design and conduct driving simulation experiments for risk scenario analysis. Develop deep learning models, such as GNNs
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are seeking a Programme Manager (Senior Assistant Manager) at NTUitive to lead the day-to-day operations and ecosystem engagement for a high-profile deep tech commercialization programme. This role plays a