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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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/ open quantum systems quantum control / optimal control machine learning (including deep learning and/or reinforcement learning) numerical simulation of quantum dynamics Proven programming skills (e.g
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materials. Perform numerical simulations, design photonic nanostructures, and carry out related experimental measurements. Build and optimize optical setups for characterizing material and device properties
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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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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