39 software-verification-computer-science-"TCAT-Jacksboro" research jobs in Saudi Arabia
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, Communications Systems and Sensing, Nuclear Engineering, Advanced Materials, Membranes and Water Security, Smart Mobility and Logistics, Refining and Petrochemicals, Carbon Capture & Storage, Hydrogen & Energy
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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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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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Professor Max Frenzel is currently recruiting for a 2-year Post-doc position (extendable) to join the new Mineral Exploration and Exploitation Group at KAUST. The focus of the position will be on the development of new methods integrating a variety of data types (remote sensing, geology,...
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keen interest in genome biology, evolutionary biology, crop domestication history and bioinformatics. The ‘Cereal Genetics and Genomics’ group leverages technological innovations in genomics and
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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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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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, 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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X: @KAUST_News LinkedIn: KAUST (King Abdullah University of Science and Technology) Fellowship info Accepting applications between: 01 July 2025 – 15 January 2026 Deadline: 15th January 2026 Location
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to Single Cell Analytics. The Living Systems Laboratory (livingsystems.kaust.edu.sa) offers an excellent interdisciplinary environment where experimentalists work closely with computational experts utilizing