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. Specifically, we seek to integrate a system developed in the laboratory into a Python-based control interface. Once this is achieved, the goal will be to apply it for frequency-multiplexed measurement and
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be particularly interested in the distribution of ions in the medium, since this is what controls the separation. Using a biased simulation procedure, the distribution coefficients will be studied and
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(by two) and energy consumption. However, lower precision can also increase numerical instabilities. The main objective of this project is to automatically identify and control sources of instabilities
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materials, there remains a notable gap in understanding the mechanisms of the biocarbon-metal systems (especially the impact of the resource nature and/or doping), the crucial process parameters controlling
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biochemical reactivity in natural porous media, from deep environments to the surface. In concrete terms, the results of this project will lead to a better understanding of the processes controlling
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knowledge of Python are advantageous. Good command of English both in writing and speaking are expected. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7648-TSATSA-001/Default.aspx
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Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or
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. The position is funded by a national ANR project (ANR pHSELECT), which aims to study the local control of pH at the surface of electrocatalysts to modulate the selectivity of the products of electrochemical
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Paint project and the Depth Control program, we are developing a prototype of a portable X-ray fluorescence spectrometer, in macro scanning mode (MA-XRF) coupled with confocal mode (C-XRF). Ultimately
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on Solid State Chemistry, Materials Science and Chemistry and Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific functions. The ICMCB