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challenges of learning from network traffic, (ii) train original AI models that are designed to operate precisely on such data, and (iii) demonstrate the viability in production of AI-driven solutions for, e.g
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the state of the art and designing key scientific and technological enablers of future cellular networks to integrate sensing and communications. To this end, he/she will design new models and algorithms
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. The successful candidate will design original solutions for the integration of inference models in heterogeneous programmable user planes composed of a combination of programmable switches, network processing
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