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, such as hydrogen leaks through cracks. These challenges renders the fast progress in the hydrogen market. The project aims to contribute to this global effort by solving essential challenges faced by
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pivotal role in executing high-impact, industrially funded projects focused on next-generation advanced functional polymer systems. This position sits at the intersection of fundamental polymer physics
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topics. Candidates should have some experience working with FPGAs as well as an understanding of computer networks. Experience with both RTL and HLS design is favoured. The ideal candidate would have some
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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Nutritional epidemiology to join an interdisciplinary project aiming to understand how the nutrient contributions of aquatic foods vary across space and time—globally and with a special focus on the Red Sea
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beyond biology—integrating the economic and social realities that shape how people use and depend on reef resources. This project takes that step. Building on recent advances that have developed context
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Arabia Project duration: One year from February 2026, and can be extendable. Application Deadline: The review of applications will begin immediately, and applicants are strongly encouraged to submit
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, but is projected to grow to 2 postdocs (incl. this positions), 3 PhD students, and a variable number of MSc students. KAUST provides a highly collaborative research environment, and active engagement
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students, but is projected to grow to 2 postdocs (incl. this positions), 3 PhD students, and a variable number of MSc students. In addition, KAUST provides a highly collaborative research environment, and
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spectroscopy, and PPMS. Use cleanroom nanofabrication processes to build 2D-material-based electronic devices. Design, execute, and troubleshoot experiments. Publish research findings in high-impact journals and