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Field
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gust conditions. - Developing physics-informed reduced-order models (ROMs) and data-driven surrogate models for real-time estimation and control. - Contributing to the development of digital twin
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Science and Engineering Division. The Composites Lab started at KAUST in 2009 and is an integrated environment for composite science, combining modeling and experimental expertise in a single working
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adaptation. Develop data-driven models to characterize the relationship between abnormal uterine artery flow waveforms and adverse placental outcomes. Communicate research findings through conference
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design and analyse separation processes, develop data-driven or AI-assisted tools, or generate high-quality experimental data that supports method development, modelling, and machine learning. You will
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charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
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-driven Modelling Transportation Planning and Network Design
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members. Participate in traffic scenario generation project and pedestrian modeling project. Develop sophisticated AI-driven algorithms that create realistic, safety-critical test scenarios for autonomous
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, coordinating cell-based assays and labeling strategies, and contributing to automation and AI-driven imaging and modeling workflows. The role involves close collaboration with computational and engineering
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-based wildfire simulation, fuel modeling, remote sensing, data-driven methods, artificial intelligence, and real-time applications. The successful candidates will contribute to the development of faster
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areas in data science and engineering systems. Required Knowledge, Skills, and Abilities Demonstrated expertise in computational sciences and numerical modeling. Demonstrated expertise in machine learning