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We invite applications for a faculty position in chemical engineering with a focus on process modeling, control, and optimization, as well as data-driven methods for sustainable energy and advanced
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- the changes occurring in Multiple Myeloma and Myelodysplasia. What is expected: Bioinformatic analysis (depending on the experience of the candidate): (i) support in the implementation and/or development
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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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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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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 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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Serve as the Lead for the team ensuring smooth operation of the Linux cluster consisting of 300+ GPU/CPU compute nodes including parallel filesystems and high-performance network. This is partly
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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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Prof. Husam N. Alshareef , Chair of the Center of Excellence for Renewable Energy and Storage Technologies (CREST) at KAUST, is seeking postdoctoral researchers with experience in the field
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Prof. Husam N. Alshareef , Chair of the Center of Excellence for Renewable Energy and Storage Technologies (CREST) at KAUST, is seeking highly qualified postdoctoral researchers for Hard Carbon