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, the post-doc will perform experimental characterization of Low Frequency Noise (LFN) and Random Telegraph Noise (RTN) in FD-SOI components of ST Microelectronics, including critical extractions of parameters
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profile with advanced skills in: - Numerical programming in Fortran, C, or C++, and Python, - Spectral methods using Fast Fourier Transform (FFT), - Code debugging. He should have a keen interest in
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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
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