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. Candidates must have experience using synchrotron X-ray absorption spectroscopy for determining metal speciation in environmental samples (or similar matrices), and/or experience using synchrotron X-ray
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Intelligence and Machine Learning, Computational Statistics, Random Matrices, Free Probability, Stochastic Control, Mathematical Finance, Stochastic Partial Differential Equations, Markov Processes, Branching
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is typically complicated by the complex nature of food matrices and the frequent need to detect very low numbers of targeted pathogens amongst relatively high numbers of generally benign background
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control, and competing-species effects in highly acidic and complex matrices. Comprehensive use of characterization and quantification tools, including XRD, FTIR, and ICP for phase identification and major
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process integration and mass transfer optimization under corrosive conditions. Investigating material stability, impurity control, and competing-species effects in highly acidic and complex matrices
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, and metal matrices. Design and optimize composite fabrication routes using densification techniques such as high-temperature sintering and spark plasma sintering. Investigate processing-structure
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computing, dynamical systems, and applied mathematics to develop new mathematical frameworks for representing, compressing, and computing with complex physical systems. The project is carried out in close
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-structures within robust polymer matrices without compromising their physical integrity. Responsibilities Lead cutting-edge research in polymer rheology and processing science, directly aligning with KAUST’s
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; experience performing metabolic analysis using mass spectrometry, especially in complex matrices; experience with metabolomic pathway bioinformatics analysis and development of rapid point-of-use analytical
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in matrices, compartments, or culture configurations relevant to implantable systems. Develop assays to evaluate stimulation-response behavior, secreted therapeutic output, optical reporter performance