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learning algorithms to support research in IDMxS. The Research Associate will apply/ improve/ develop machine learning algorithms to process (e.g., classify, predict) data/ images collected by IDMxS
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the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon
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implementing advanced hardware architectures and system-level solutions for next-generation computing, with a focus on memory-centric acceleration. Key Responsibilities: Design and develop Processing-in-Memory
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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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, methodology, analytical techniques, analytical results and insights for stakeholders. Develop visualisations and presentations for dissemination of analytical results and derivation of actionable insight
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computing, edge computing, service computing, and distributed storage systems. Design and develop novel algorithms and system frameworks for cost optimization, latency reduction, auto-tiering, caching, and
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with the Principal Investigator (PI) on the project on Long-Wave Infrared (LWIR) Imaging for Autonomous Navigation. The position focuses on developing robust perception, state estimation, and odometry
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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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tools, and develop the talent to power Singapore's AI efforts. Since our inception in 2017, we have established a culture of respect, continuous learning, experimentation and curiosity, centred around