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experience with HHG sources are a plus but not critical. Knowledge of programing languages such as Python (and with finite element simulations specifically) would be also valuable.
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microarchitectural vulnerabilities and/or prove the robustness, for a given fault model, of various RISC-V based processors [3]. For instance, we apply this methodology to the OpenTitan secure element and formally
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materials to post-mortem gas analysis. This team is completed by data scientists and electronics engineers. A large anhydrous room is available to build Li-ion cell prototypes, as well as to develop any
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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decisions typical of real-world electronic systems Your work will enable the automatic generation of optimized and diversified architecture configurations, and provide insightful trade-off analysis across
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power system, based on the Antares open-source framework. You are a source of proposals for researching and testing innovative modeling and data analysis techniques. You will contribute your knowledge
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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