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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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optimizations are still needed to adapt the translation of these mRNAs to the cell types of interest. As part of a collaboration with Chantal Pichon's team (University of Orleans), this project aims to use
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-processing pipeline for high-field MRI medical data (normalization, denoising, spatial registration) to optimize the quality and consistency of data used in analyses, and to facilitate the search
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maintaining version‑controlled scripts and input files, curating datasets for reproducibility, preparing reports and manuscripts, and presenting results in project meetings and conferences. • Perform quantum
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operating in the short infrared (i.e., up to 2.5 µm) as well as in the mid-infrared (3–5 µm). We are particularly interested in controlling the light-matter interaction in these components by introducing