41 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at King Abdullah University of Science and Technology
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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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immune response mechanisms, vaccine development, or genetics of host responses to infectious agents will be considered. Host-Microbiome Interactions: We seek candidates who will study the role
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program contributes to developing mathematical frameworks and methodologies to foster economic prosperity and enhance the quality of life through the power of applied mathematics. Priority will be given
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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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, 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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innovative lab at KAUST which aims to develop gene delivery viral vectors by teaming up with diverse researchers at the university to support their research programs. Applicants are required to have prior
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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
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integrate complex flow on Discrete Fracture Networks (DFN). The objective of this project is to develop a tool to generate DFN models amenable for multiphase flow, and scale up the model to be usable with