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We seek a highly motivated Post-Doctoral Fellow to join MCEM (Mechanics of Composites for Energy and Mobility). As a key member of our organization, you will play a pivotal role in developing AI
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We seek a highly motivated Post-Doctoral Fellow to join MCEM (Mechanics of Composites for Energy and Mobility). As a key member of our organization, you will play a pivotal role in developing our
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We seek a highly motivated Post-Doctoral Fellow to join MCEM (Mechanics of Composites for Energy and Mobility). As a key member of our organization, you will play a pivotal role in developing our
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12 Feb 2025 Job Information Organisation/Company KAUST Department Physical Science and Engineering Division Research Field Engineering » Materials engineering Researcher Profile First Stage
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· PhD in Materials science, chemistry, physics, polymer science, or related field · Strong background in ferroelectrets, piezoelectric materials, voided charged polymers or piezocomposites · Hands-on experience with poling techniques, impedance analyzers, and dynamic mechanical...
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-performance computing infrastructure, fostering an excellent environment for genomics-based research. The position is fully funded for 2-3 years with a competitive salary and benefits. For more information
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’ wheat species of historic and regional importance are cultivated. This project focuses on the comparative genomics of several minor wheat species. The goal is to create a more comprehensive picture of
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
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holding a PhD in chemical, environmental or process engineering, to apply for a full-time post-doctoral fellowship position in the field of water desalination, focusing on the development of an artificial
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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