52 algorithm-development-"LIST" positions at King Abdullah University of Science and Technology in Saudi Arabia
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Are you passionate about developing advanced polymeric materials for electrochemical energy storage and conversion, including batteries, fuel cells, and electrolyzers, to contribute
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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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highly competitive candidates eager to pursue innovative research addressing fundamental questions and developing cutting–edge technologies for application in marine systems. This position offers a unique
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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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, numerical simulators with coupled physics (flow/reactive/geo-mechanics/thermal) have been developed and often applied to predict the long-term fate of the injected carbon dioxide to ensure its secure
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competitive candidates eager to pursue innovative research addressing fundamental questions and developing cutting–edge technologies for application in marine systems. We are especially interested in
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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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in KAUST with a core team of 19 scholars. Officially named Oxide and Organic Nanomaterials for Energy and Environment Laboratory (ONE Lab), we focus on nanomaterials design and development
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is to develop a modeling framework including the use of Random-Walk method to predict NMR measurements, pore-scale finite-element modeling on 3D digital models, generated from CT-images to predict