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                ). The successful candidate will join the Integrated Intelligent Systems (I2S) Lab , led by Prof. Gianluca Setti, and contribute to the design, development, and deployment of cutting-edge AI- and IoT-based systems 
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                optimization of large-scale, multiscale, or networked chemical processes. Special emphasis will be directed toward incorporating advanced algorithms, high-performance computing, uncertainty quantification 
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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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                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