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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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. Context Modern computing systems ranging from high-performance computing (HPC) to embedded AI and automotive platforms face increasingly complex and interdependent design challenges. These systems must meet
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the work with increasing levels of complexity, especially the electronic design, PCB manufacturing (outsourced) and tests. You will also support the institute by communicating effectively about your results
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With the increasing complexity of numerical simulation codes, new approaches are required to analyze the ever-growing amount of data. This requires coupling up-to-date data analysis libraries with