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on several aspects to explore in parallel: - Develop the experimental set-up to enable Low-Energy SAXS measurements on Attolab’s set-up (through punctual mission (2 or 3 times a year for 1 to 2 weeks
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degree in computer science and: You have a good knowledge of C++ You have skills in software engineering. You are familiar with common development environments and associated tools Knowledge of parallel
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experimental data and is testable across multiple unlearning scenarios. For this we plan to apply for the first time Spiking Neural Networks (SNNs) to the modeling of unlearning. SNNs have recently shown
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) based on various libraries. It is developed in modern C++ and offers C, Fortran, and Python application programming interfaces. PDI offers a reference system similar to Python or C++’s shared_ptr with