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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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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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. Qualifications Ph.D. in Physics, Materials Science, or a related field. Hands-on experience with cleanroom nanofabrication. Familiarity with transport experiments (thermal, electrical) is a plus. Strong analytical
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of components, machining - Parameterization of components - Assembly of the equipment - Functional validation of the developed equipment - Holder of a Ph.D. or an engineering (MSc) degree with a focus on
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of a Ph.D. in cell biology. - You have at least 2 years' professional experience in the field of organoids: development of cell models, 3D cell model responses to compounds. - You would like to pursue
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may be extended for a further year to include the quantification of 107Pd and 126Sn. You have a PhD in analytical chemistry. You have : - Laboratory skills in chemical analysis using ICP-MS. - Skills in
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-effectively integrated into advanced technology nodes for sensor, nonvolatile memory, logic, and neuromorphic applications. Currently, hafnium-zirconium mixed oxide (HfxZr1-xO2) offers the widest stoichiometry