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groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
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. The project seeks to advance population health using innovative quantitative methods in system dynamics computational modeling and structural equation modeling applied to accelerating the translation and
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catalytic mechanisms and reaction outcomes • Perform detailed in situ / operando studies of catalysts using Infrared and X-ray Absorption Spectroscopies, as well as other advanced spectroscopic techniques