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Field
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team to develop integrated control algorithms for autonomous cubesatellite formation flying. The controllers that will be developed during this project will differ from previous work on this topic by
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2022 but may also start earlier. KAUST offers competitive/generous postdoc compensations. The Research Vision-CAIR group performs research and develops computational approaches in the following research
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techniques, and optimal energy management algorithm development for the optimal operation of the microgrid system. Strong knowledge of power electronics, drives, and control is highly preferred. Experience
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of Reinforcement Learning and Material Science, focuses on developing innovative solutions for the discovery of novel chemical materials for direct air capture (DAC) technologies. By joining our team, you will
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support research works in COEB. The role will focus on developing the thermal nanophotonics, focusing on thermal radiation theory at nanoscale. Key Responsibilities: The Research Fellow will work on a
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challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise
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of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and
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regarding thermal and gas dynamics, burn intensity, and rate of spread. Responsibilities Research and development of algorithms to characterize active and/or post-fire processes in near real-time at a variety
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. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining
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and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc Key Responsibilities: Conduct advanced research in Generative AI, focusing on the design, development, and