20 computational-modelling positions at King Abdullah University of Science and Technology
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Computer Vision: OpenCV, scikit-image, ITK, SimpleITK Generative AI: Stable Diffusion, GANs, VAEs, Diffusion Models Imaging Tools: DICOM handling, 3D Slicer, ImageJ MLOps: Docker, Kubernetes, MLflow, DVC
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are in particular targeting development of data-driven high-performance computing techniques for unbiased discovery of generative models & theory and algorithms for network inference with special reference
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devices Design intuitive interfaces for AI model interaction and advanced image analysis Manage high-performance databases optimized for large-scale imaging datasets Implement security measures including
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The Statistics (STAT) program in the Computer, Electrical, and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah University of Science and Technology
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The Bioscience Program in the Biological and Environmental Science and Engineering (BESE) Division at King Abdullah University of Science and Technology (KAUST) is launching a significant initiative
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/Online. A project at the Composites Lab is characterized by the amalgamation of experimental and computational/modeling mechanics and encompasses people with very different backgrounds to ensure we capture
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We invite applications for a faculty position in computational science and engineering with a focus on geophysics or fluid dynamics, as well as machine learning with one of the following experiences
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themes: (a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating
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industry partners. Design, implement, and validate advanced reinforcement learning models. Utilize reinforcement learning and evolutionary algorithms to discover new chemical materials. Publish and present
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framework to study marine diversity and function. Besides establishing a world-class research program, the successful candidate is expected to start a strong teaching program in Marine Systems Modeling and to