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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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proposed for improving the accuracy of medical diagnoses, identifying biomarkers and understanding glioma features in MRI data. The successful candidate will work in particular on : - Development of a pre
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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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of performance - Ex-situ and In-situ optical properties of single layers and multi-layered devices - Devices Conception and building - Interactions with the partners of the EC-LIPSE project - Handling