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, energy, environment and the digital domain. KAUST is a curiosity-driven, interdisciplinary problem-solving environment, with state-of-the-art labs, distinguished faculty and talented students. KAUST brings
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pressing scientific and technological challenges in the world as well as Saudi Arabia in the areas of food and health, water, energy, environment and the digital domain. KAUST is a curiosity-driven
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to finding solutions for some of the most pressing scientific and technological challenges in the world as well as Saudi Arabia in the areas of food and health, water, energy, environment and the digital
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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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testing. Develop and validate electrochemical-thermal-mechanical models to simulate battery behavior under normal operation and failure conditions, including thermal runaway initiation and propagation
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operation and failure conditions, including thermal runaway initiation and propagation. · Analyze coupled failure mechanisms involving heat generation, gas evolution, internal shorting, and structural
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applications as soon as possible. Required Field(s): · Advanced fabrication process of emitting devices, mainly laser diodes . · Materials: wide-band gap nanostructure devices (mainly oxides, III
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groundbreaking filtration and extraction processes. Key Responsibilities: Participate in and lead the development of lithium-ion battery recycling technologies. Develop advanced separation technologies including