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are especially encouraged: (1) statistical mechanics, condensed-matter theory, quantum field theory; (2) tensor networks, quantum information, quantum algorithms; (3) machine learning, generative models, large
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differential equations (analysis and numerical methods) • Probability theory, stochastic processes, and stochastic control • Optimization, optimal control, and game theory • Inverse problems and data-driven
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complexity theory to understand and enhance modern AI. Successful candidates will work closely with leading Principal Investigators and collaborators within BAQIS and its extensive network on cutting-edge
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including, but not limited to, Dynamical Systems, Bifurcation Analysis, Complex Networks, Optimization, Mathematical Biology, Biostatistics, Mathematical Epidemiology, Computational Biology, Bioinformatics, P