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transition-metal complexes. The project will involve the reaction development, mechanistic studies, and synthetic applications. The postdoctoral associate will perform parallel reaction condition screening
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systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging
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dehydroaromatization. The postdoctoral associate will play a central role in the processing, analysis, and interpretation of X-ray Absorption Spectroscopy (XAS) data collected on metal-modified zeolite catalysts under
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to metal organic framework materials. Therefore, the synthesis of MOFs and preparation of suitable spectroscopic samples is required of the incumbent. Characterization techniques such as fluorescence
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models, analyzing and interpreting experimental data, preparing manuscripts and grant applications, and mentoring trainees within the laboratory. A major component of this position will involve mouse