123 distributed-algorithm-"Meta"-"Meta"-"Meta" positions at Nanyang Technological University
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algorithms, and self-driving systems. Collaborate with team on improving and optimizing the performance of the autonomous vehicle system for real-world conditions. Participate in vehicle data collection
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applications, and AI integration with surgical robotics. The RA will design advanced algorithms and develop AI tools tailored for medical applications, bridging computational solutions with practical use
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accurate, data-driven insights that inform energy production, distribution, and sustainability initiatives. The researcher will collaborate with cross-functional teams to ensure forecasts align with business
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sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for TBM risk identification Developing practical tools to optimize TBM operation parameters Writing
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fusion, and ROS2 implementation. Key Responsibilities: Design and implement real-time radar-inertial odometry algorithms. Extract ego-motion estimation from 4D radar and fuse with IMU data. Evaluate
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scene understanding algorithms (e.g., object detection, semantic segmentation) for fire-response environments. Integrate generative AI models to infer fire dynamics, structural layout, or human presence
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(SyLLab) at SPMS. We are seeking a Project Officer to contribute to a project focused on low latency and leakage resilient cryptography. Key Responsibilities: Design and analysis of cryptographic algorithms
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work on a project to conduct research for human robotic teaming, in particular: Perform optimization on complex system subject to various constraints. Design and develop real-time algorithms. Simulate
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drives Development of new control algorithms for electric motor drives Job Requirements: Master’s in Electrical and Electronic Engineering or related field Expertise in motor design, control, and
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for Year 4 undergraduates with the objective of introducing students to the basic principles and procedure for the design and assessment of low-voltage and high tension distribution networks. The course also