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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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, which performs numerical analytics during the simulation. This is necessary due to the ever-growing gap between file system bandwidth and compute capacities. To this end, we are developing the Deisa
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experiments (experimental economics, preference method, discrete choice method, surveys, etc.), with associated academic publications ? You are familiar with putting forward proposals to help build up
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of quantitative methods for data processing and analysis, optimization, scientific programming and economic analysis, in some of the following areas. The main tasks will be : * Global economic analysis
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This post-doc aim to develop an analytical method for the quantification of the long-lived radionuclide Selenium 79 in nuclear waste. More specifically, this will be done using preparative
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microarchitectural vulnerabilities and/or formally prove the robustness, for a given fault model, of various RISC-V based processors. We have also developed binary-level program analysis methods (BINSEC/ASE) able
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optical access to the region of interest. To circumvent this issue and gain simultaneous access to numerous interphases we target the characterization of cross-sections of battery stacks obtained by new
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to support research. Implement algorithms, data structures, and other computational techniques to solve complex problems. Collaborate with cross-functional teams to integrate software components into larger
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We are looking for a candidate with a Master's degree, Engineer's degree or PhD in computer science, junior or senior, to join a team responsible for the packaging, deployment, and testing