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-tier AI conference and journals. Internal knowledge transfer, and collaborative research efforts Requirements: Minimally a Bachelor’s degree in Artificial Intelligence, Computer Science, Optimization
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problems. Our results will provide an explicit protocol for optimizing the VQE to calculate the total energy of molecules using quantum computers. One Research Fellow (RF) position is open in Li's group led
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and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative optimization and Machine Learning models to address key challenges in the future airspace
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project titled “Toward Cognitive Digital Twin as A Unified Platform for Smart Cities: Governance, Sustainability and Applications”, in collaboration with ITB, Bandung, Indonesia under the INSPIRASI program
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/experimentation. • Design and develop an intelligent and optimal switching strategies, control techniques, and energy management system (EMS) for the energy efficient and reliable operation. • Perform HIL
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and troubleshoot the challenging problems. • Design and develop an intelligent and optimal switching strategies, and control techniques, for the energy efficient and reliable operation. • Dynamic
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in a research project on machine learning modeling and optimization of vertical farms. Key Responsibilities: Development of new machine learning modelling approaches Development of new advanced control
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the industry to lead and/or conduct innovative research on, but not limited to evolutionary computing, job scheduling, transfer optimization, transfer learning, reinforcement learning, large-scale
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and units within the university. Its primary goal is to streamline and optimize processes, enhance operational efficiency, and deliver high-quality services to support NTU's core mission of education
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, including traffic prediction, optimization, and safety enhancements. Key Responsibilities: Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection