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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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-edge research in quantum technologies, advanced materials, and sensor development. We are looking for a Research Fellow to lead critical research activities in the development of quantum-grade nitrogen
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Responsibilities: Research and develop novel ML-based methodologies and algorithms in LLM-empowered Sub-Graph Learning for Large Graph Models. Working closely with other Postdoc/RA/PhD students to discuss the ideas
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softwares and algorithms. Excellent publication track records. Good understanding of nonlinear and quantum optics. Strong knowledge of optical physics, while experimental experience would be preferred
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.) Implement reinforcement learning algorithms that process human feedback into the AI Models to improve them with time Any other administrative duties as assigned by Principal Investigators Application
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novel nanomaterials for next-generation optical and electronic applications, including integrated optical devices, sensors and actuators, and energy harvesting. For more details, please view https
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Responsibilities: Conduct research on differential privacy algorithms with applications in computational processes. Develop innovative ideas to enhance existing algorithms and frameworks. Collaborate on applying
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Responsibilities: Conducting regular field work to collect seismic data in Indonesia and Singapore. Seismic data processing and analysis. Implement multiscale subsurface imaging and inversion algorithms
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transformative research initiative aimed at developing next-generation chemo-sensing platforms. The successful candidate will contribute to the development of solid-state, surface-based electrochemical sensors