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these systems in both classical and quantum regimes, we aim to develop new methods for solving complex optimization problems and advancing machine learning architectures. The research involves investigating how
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algorithms, representation and learning of data and dynamical systems, geometric deep learning, topological and algebraic data analysis, optimization on manifolds, and operator- and PDE-based approaches
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interface optimization within unconventional reservoir rocks. The role balances core DOE deliverables on fundamental huff-and-puff mechanisms and processes with exploratory research into advanced chemical
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Science Center (NOROCK) and Columbia Environmental Research Center (CERC) seek a postdoctoral fellow to be a part of the development, optimization, and implementation of scalable pipelines for environmental
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– Femtosecond Laser-Written NV Center Defects and Entanglement: This project aims to understand and optimize the femtosecond laser writing process of nitrogen-vacancy (NV) center defects in diamond for scalable
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acoustic metamaterial solutions, including porous materials (porous concrete); - support in testing tools and numerical models for predicting the performance of acoustic metamaterials; - development
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design and execute experiments using lung cancer and lung infection Organ Chips. Develop, optimize, and characterize human lung microphysiological models for translational studies. Analyze and interpret