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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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, 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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, 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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The project is to be carried out in collaboration with Schaeffler to study “collision monitoring and control system of cobot based on fiber optic sensing and deep learning”. Research Assistant
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Engineering in the 2025 QS World University Rankings by Subjects. The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and
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expertise (RGB, Depth Cameras) and deployment of machine learning models on embedded/edge systems for real-time industrial applications. Proficiency in Python and C/C++, with hands-on experience using deep
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-generation risk prediction systems and intelligent decision-making tools that drive real business impact. Key Responsibilities: Design and deploy credit risk and fraud prediction models using deep learning and
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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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in deep learning approaches and also experimental experience. Good communication and writing skills & team player. Strong interest in research work. Highly motivated, independent and resourceful. We