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collection from both experimental and numerical sources, gathering relevant test and simulation data available globally, organizing the collected data to support model and control algorithm development and
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trust and agentic AI. Job Description: Review the literature about Real World Asset and blockchain technologies Design new blockchain consensus and trustworthy algorithms to support Real World Asset
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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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semiconductor design automation and fostering leadership in next-generation microelectronics research. Key Responsibilities: Lead and conduct research in applying AI and ML algorithms for signal integrity (SI
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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We are looking for a Research Associate to conduct the research for the project entitled “Manual Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms
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using machine learning algorithms. The position involves in conducting research, supervising undergraduate students, and writing project reports and scientific articles. Job Requirements: A Bachelor
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systems with sensors and suitable control/machine-learning algorithms to improve print quality and reduce material waste. Large-scale structural modules printing with mobile robotic arm and gantry system
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of machine learning fundamentals, with proven experience applying algorithms to solve problems in areas like NLP, Computer Vision, or on tabular data • Generative AI & LLMs: Hands-on experience developing LLM
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sustainable societies. Key Responsibilities: Design, implement, and tune digital control algorithms for power converters tailored for smart grid applications. Model and simulate control systems including