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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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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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statistically significant results on ferroelectric capacitor performance. The post-doctoral research will give a better understanding of the influence of dopants on local chemistry, electronic structure, phase
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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