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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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international partners, building a robust network for your career. · Life in Paris & Beyond: Work on a vibrant campus just 20 km from the heart of Paris, enjoying the city’s cultural and scientific
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developed in solid and structural mechanics. In the course of their previous experience, they will have developed knowledge in one or more areas of non-linear physics or solid mechanics, such as fracture
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outsourcers. Data analysis basics (with Python or MatLab) is also demanded. General knowledge about embedded software programming may be required (but not compulsory).