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                : information theory, digital communication, signal processing, applied mathematics (particularly, nonlinear dispersive partial differential equations), neural networks, optical fiber communication, or photonics 
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                with a solid theoretical understanding of reinforcement learning, accompanied by a strong foundation in mathematics. You must also have proven experience in programming reinforcement learning agents 
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