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, Statistic and Learning (S2A) Team. Scientific context: The number of methodological challenges raised by the application of Generative-AI approaches to audio data (speech, music, environmental sounds) is
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of the model. The learning process then focuses on modeling the more complex, unknown aspects of the environment around these established truths. • Compositional reasoning for safety: We will explore how a
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with Python, C, and C++ languages, as well as solid experience in model design, tuning, and evaluation. A good understanding of microarchitectures is an asset, as is experience in microarchitecture
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experience in one of the following areas : System modeling and verification, System reliability. You have a professional level of English. Why join us? You'll be working in a fast-growing, pleasant, green and
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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