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We are seeking postdoctoral researchers with expertise in hard carbon synthesis for energy storage applications. This position focuses on developing hard carbon materials derived from bio-based
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activities: · Understanding/simulating the diffusion paths and cavitation in thermoplastic liners. · Multi-physics simulation of the diffusion process in thermoplastic orthotropic composites
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The Machine Learning (ML) group led by Professor Ricardo Henao at KAUST (King Abdullah University of Science and Technology) has multiple openings for Postdoctoral level positions to conduct
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