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computational skills, including numerical methods and scientific programming (Python, MATLAB, C++, etc.). Effective communication and collaborative skills. Preferred Qualifications: Experience with wide-bandgap
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hydrogen transport properties. Collaborate on neutron scattering experiments (e.g., at national labs) to investigate fluid–mineral interactions and pore structure evolution. Develop and calibrate numerical
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the functionality of food molecules. Integrate molecular biology, bioinformatics, and protein engineering tools to improve enzyme performance. Design and optimize enzyme-catalyzed reactions for food structure
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project. The overarching aim of this project is in the development of new knowledge and a new framework to facilitate the optimal design and life-long adaptation of civil infrastructure systems
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for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine