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Field
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) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d) publish research findings in peer-reviewed journals and
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
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) for developing more reliable systems for Railway Transportation and contributes to Green Transportation. The goal is to identify early signs of wear or faults of the railway power system to improve maintenance
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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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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