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performance (noise, charge resolution, stability) and optimization of ultra-low background conditions. This phase will provide comprehensive training in experimental physics. Second, the direct search for dark
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alternative to conventional fertilizers, as they should optimize nutrient supply, limit losses to the environment, and preserve crop production and quality. Where to apply Website https://amethis.doctorat.org
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. The composition of these colloidal particles will be adapted to optimize their ability to stabilize water-in-water emulsions, adopting a strategy based on well-defined structures through the use of synthetic block
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approach. WP1 dealing with the elaboration, characterization and optimization of Cu/CeO2-TiO2 photocatalytic systems, will be mainly performed at IS2M (Mulhouse) and WP2 focused on the evaluation of gas
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for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates, by integrating image analysis and docking across multiple structural
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meters. These instruments produce large amounts of data that require several processing steps before the relevant physical variables are obtained. Typically, machine learning methods are used to optimize
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exploration and optimization of operating conditions. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5623-LOUBRE-001/Default.aspx Requirements Research FieldChemistryEducation LevelMaster
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responsible for understanding the impact of the object nanostructuring on electronic dynamics in order to better control them within nanostructures optimized for the recycling of CO2 into methane. The PhD
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of which are critical for the aerospace industry. Understanding and controlling PPBs is therefore essential to optimize the properties of the synthesized materials. The use of pulsed electric currents could
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Description This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates