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, and neural circuit models for understanding local-field and neural ensemble data collected from rodent models of healthy aging and age-associated disorders. These analyses and models will contribute
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will be compared to natural prototypes (e.g. in Asia or western North America) and analog models, with emphasis on the implications for structural models needed for energy geoscience. Key skills include
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mechanisms. Cutting-edge research models (eg. primary cell/organoid cultures, mouse models and human clinical samples) and technologies (e.g. scRNA-seq, CRISPR) are utilized in the lab. the PI is highly
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research models (eg. primary cell/organoid cultures, mouse models and human clinical samples) and technologies (e.g. scRNA-seq, CRISPR) are utilized in the lab. the PI is highly experienced in mentoring
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project aimed at utilizing 3D physics-based wave propagation simulations up to 10 Hz to improve ground motion estimates in urbanized areas in California. The central goals are to unify and optimize
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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., model-based, optimal, learning-augmented control), perception, and planning modules; run structured experiments and benchmarking. Architect high-quality research codebases in C++/Python/C# (e.g., ROS/ROS
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Campus Address Tucson, AZ USA Position Highlights The selected candidate will conduct research associated with the DoD-funded project "Nonlinear Oscillator Synchronization and Multi-Agent Consensus
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capable of research combining experimental characterization with computational modeling of process--structure--property of structural alloys (aluminum, steels, superalloys). Desired qualifications include