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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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REQUIREMENTS We are looking for a graduate student with background in petroleum and natural gas engineering to work on development of advanced AI based models for drilling optimization and wellbore stability
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–activity relationships. Development and optimization of reaction conditions Optimization of photocatalytic protocols for selective reactions such as green hydrogen production or demethylation of biomass
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hierarchical and composite nanofiber systems with prescribed structures to optimize performance in targeted applications while expanding the fundamental understanding of nanofiber fabrication processes and their
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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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be used in order to optimize the different growth processes. Crystals will be oriented and shaped then characterized by optical spectroscopy, X-ray diffraction as well as by various chemical and
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, predictive synthesis optimization, and high-throughput data analysis. Develop novel synthetic methodologies and characterization approaches for advanced nanomaterials, leading to high-impact publications and
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structures at the atomic level, conducting failure analysis, selecting materials for new products, and optimizing manufacturing processes Responsibilities R&D: Lead material selection, development, and
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/rDA). • Optimizing reaction conditions. • Assessing the generality of ihDA/rDA sequences. • Translating reactions into flow chemistry for real-time NMR monitoring (in collaboration with ANR SOFTNMR
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Responsibilities: Develop and optimize strategies for multiplex CRISPR-Cas genome editing in Brassica Design, construct, and validate CRISPR-Cas vectors for efficient gene editing Generate edited Brassica plants