12 Computer Science "Data driven Materials Modeling" Fellowship positions in Saudi Arabia
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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, encompassing organic and polymer chemistry, membrane science and engineering, and electrochemistry and electrochemical engineering. Drawing on these complementary specialisms, we focus on the function-led design
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The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep
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. Working at KAUST The successful applicant will be integrated in the Volcanology, Igneous Petrology and Geochemistry team, within the Earth Science and Engineering Program at KAUST. In the team, currently
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will be integrated in the Volcanology, Igneous Petrology and Geochemistry team, within the Earth Science and Engineering Program at KAUST. In the team, currently two research scientists, eight PhD
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to improvements accuracy and resolution. The selected candidate will join the research group of Prof. Tariq Alkhalifah within the Earth Systems Science and Engineering (ESSE) program at King Abdullah University
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We invite applications for multiple Postdoc positions in the Accelerated Connected Computing Lab (ACCL) at KAUST! The new research group, supervised by Suhaib Fahmy explores hardware acceleration
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campus, annual travel allowance to visit home country, annual paid vacation, and other generous benefits. The successful applicant will become a part of the Ali I. Al-Naimi Petroleum Engineering Research
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Application Questions (Required) All five questions below are mandatory. Please answer them in your own words. Generic or AI-generated responses will not advance in the process. Describe a specific bug or failure in a CT reconstruction or generative model pipeline that took you more than a day...
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We seek a Postdoctoral Associate with a PhD in Physics, Electrical Engineering, Materials Science, or a related field. The successful candidate will specialize in acoustic sensors, device