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Machine learning skills (deep learning, perception models, generative AI…) Python proficiency in a deep learning framework (especially PyTorch or TensorFlow) Strong interest for 3D
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their 4th or 5th year of studies (M1, M2 or gap year) - Computer vision skills - Machine learning skills (deep learning, perception models, generative AI…) - Python proficiency in a deep learning framework
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Physics, Applied Mathematics, or Computer Science, with experience in deep generative models (VAE, diffusion) and Python/PyTorch. Applications from statistical physicists are welcome. STILL HESITATING? The
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performance analysis in a fully virtualized environment. These tools integrate QEMU-based emulation, external models, and a Python API for performance data extraction during application execution. A-DECA
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time-frequency signal processing; Strong Python programming skills for scientific data analysis, including the use of AI-based analysis packages; Good analytical and problem-solving abilities; Excellent
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representative tests in small-scale batteries. A multidisciplinary team is involved in the project with much excellence and expertise in the topic. An example of a recent related research can be found here: https
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develop and apply cryo-ET on microalgae from laboratory cultures and field samples. At LPCV, you will contribute to the research themes of the Photosymbiosis team led by Johan Decelle (https
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field modeling of brittle fracture: Part I—Theory and simulations, Journal of the Mechanics and Physics of Solids, Volume 121, 2018, Pages 81-98, https://doi.org/10.1016/j.jmps.2018.07.010. [2] Lamia