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–activity relationships. Development and optimization of reaction conditions Optimization of photocatalytic protocols for selective reactions such as green hydrogen production or demethylation of biomass
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation
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) which is sliced and stained to be finally observed by a specialist allowing him to make a diagnosis on its cancerous nature. This process is long (1h-72h) and prevents the optimal management of patients
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to guide the selection of optimal functionalization strategies. Simulating gas adsorption (CO, O₂, H₂, NOₓ, etc.) on ND surfaces to predict binding configurations and IR spectral signatures, enabling
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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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and temporal variability. 2. Study of the life cycle and optimization of rearing This part of the project will focus on improving our understanding of the earwig life cycle, particularly under
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/rDA). • Optimizing reaction conditions. • Assessing the generality of ihDA/rDA sequences. • Translating reactions into flow chemistry for real-time NMR monitoring (in collaboration with ANR SOFTNMR
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), which is sliced, stained, and ultimately examined by a specialist to diagnose its cancerous nature. This process is time-consuming (1–24 hours) and hinders optimal patient management during surgery or
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candidate will undertake the following activities: - Synthesis and characterization of catalysts: Develop hybrid materials (metals, oxides, or composites) optimized for the selective formation of aldehydes