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locomotion. Key Responsibilities: The successful candidate will: develop locomotion and local motion control algorithms for humanoid robots, implement learning-based and/or model-based control methods (e.g
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on embodied intelligence. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in embodied intelligence, such as Vision-Language-Action (VLA
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real
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enhancements, including advanced navigation algorithms, swarm intelligence, cyber security hardening, and payload-specific control systems. Key Responsibilities: Control Augmentation Development: Design
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on an industry innovation research project where you will be part of the research team to develop a Multimodal AI for Fire Detection & Safety Systems. Key Responsibilities: Participate in and manage the research
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the essentials of linear algebra, calculus, probability, statistics, algorithms, and data structures. The goal is to provide a foundational understanding of machine learning and deep learning methods
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a Research Associate to develop
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on the project of NEMO Sub-Project C: Passive UE activity inference (4/5G) from OTA network traffic. The role will focus on developing algorithms and methods for processing and analyzing 5G signals. We
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research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
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Responsibilities: Design, implement, and tune algorithms for digital control, A/D sampling, pulse synchronization tailored for power converters applications (DC-DC, AC-DC, DC-AC). Develop and implement firmware