33 parallel-computing-numerical-methods-"Prof" uni jobs at King Abdullah University of Science and Technology
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, Applied Probability, Partial Differential Equations, Numerical Analysis, Scientific Computing, and Optimization. Candidates with portfolios that align with Saudi Arabia’s national priorities for research
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-disciplinary expertise and activities in the following domain: Computational methods for bioengineering Topics of focus include (but are not limited to): Automation and robotics Genomics Biological imaging
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The Head of the KGSP oversees Saudi Arabia's most important STEM scholarship for the nation's highest-performing students. The KGSP is not only a crucial strategic source of Saudi talent for KAUST but also the strongest pipeline of talented scientists, innovators, and thought leaders for Saudi...
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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 successful candidate will join the Integrated Intelligent Systems (I2S) Lab , led by Prof. Gianluca Setti, and contribute to the design, development, and deployment of cutting-edge AI- and IoT-based systems
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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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: The candidate should have expertise in machine learning and computational methods applied to seismic imaging, inversion, earthquake monitoring, or subsurface characterization. The candidate should have expertise
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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 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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