12 computer-science-postdoc positions at King Abdullah University of Science and Technology
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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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genomics, protein engineering, cloning/assembly workflows, cell line development). You will work closely with computational experts to establish innovative, high-throughput, high-fidelity screening platforms
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& Characterization, Extreme Computing, and Informatics. About you The postdoc researcher will be expected to take a leading role in developing and carrying out the research program. The project will require strong
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The Yavuz Lab at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, is accepting applications for postdoctoral scholars. Successful candidates will conduct research
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language processing, computational biology and healthcare. Our group focuses on important and fundamental open problems in machine learning research and challenging applications in diverse fields (e.g., biology and
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Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can...
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The VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate
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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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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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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling