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(deep learning, generative models, NLP, computer vision) and integrate these approaches with Lab-scale HPC and cloud environments. Develop and optimize pipelines that combine HPC with AI frameworks
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and Berkeley Lab. Alvarez Fellows apply advances in computer science, mathematics, computational science, data science, machine learning or AI to computational modeling, simulations, and advanced data
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computing. Model and analyze Rydberg-mediated interactions for both single-atom and ensemble qubits. Analyze optical trapping and transport dynamics of single atoms and ensembles. Evaluate and benchmark
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