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materials, the design and optimization of catalytic reactors, the study of reaction kinetics, and the detailed microstructural and physicochemical characterization of catalysts. The primary objective is to
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optimization, velocity modeling, seismic characterization, geological CO2 storage. Abstract: This research project aims to improve the FWI workflow in order to obtain accurate results even under limited initial
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
, fabrication, and evaluation of loaded MAPs with clinically relevant dosing. The project will involve integration of materials science, drug delivery, and advanced manufacturing to optimize device architecture
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materials design and theoretical calculations. The project aims to achieve the following goals: Develop a low-temperature macro-preparation technology for hard carbon. Optimize the design of hard carbon
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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of structural optimization schemes for customized reinforcement configuration in reinforced concrete component. • Conduct mechanical testing on steel-concrete composite elements. • Collaborate with team
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, assembly, adaptation, operation, and optimization of plasma systems and reactors; on the processing of liquid materials and precursor suspensions; on the treatment and processing of materials by thermal
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researcher will conduct collaborative research between the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS, https://cosmos.uta.edu/ ) and the Department of Chemistry and Biochemistry (CHEM
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by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission
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environment. Research Area and Environment. The successful candidate will work directly with the CMAI faculty. Broadly, the group’s activities lie at the interface of optimization and nonsmooth/nonconvex