14 atomic-force-microscopy Postdoctoral positions at King Abdullah University of Science and Technology
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the coupled physical process of GCS, such that we can efficiently forecast the spatial-temporal patterns of the subsurface response variables, e.g., pressure, saturation, minerals etc.; (2) integrate
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expertise on thermoplastics composites exposed to high-pressure hydrogen with applications to the Energy production and storage sector. Responsibilities : Collaborate in developing a state-of-art experimental
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healthcare) where deep learning architectures, hierarchical learning models and representation learning can be truly impactful. The group strives to publish in top-tier ML venues such as NeurIPS, ICLR, ICML
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Environment exposed to high pressure / high temperature / mechanical and environmental loading. Develop accelerated multiscale approaches using AI-based scale transition and homogenization. Develop AI-based