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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD’s degree in Computer Engineering, Computer Science, Electronics
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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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related to project implementation details. Familiarity with electrical and power systems, energy storage systems, EV charging systems, test & measurement instruments, sensors/sensor networks, and PLC
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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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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
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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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, multimodal sensor fusion, and safe human-robot collaboration. Emphasis will be on methods that enable robots to learn complex skills from data and adapt robustly to dynamic, uncertain environments. The role
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details. Familiarity with electrical and power systems, energy storage systems, EV charging systems, test & measurement instruments, sensors/sensor networks, and PLC systems is preferred. Prior experience
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efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, etc. These positions would be especially relevant for those with a