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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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. *Report results. *Perform sample preparation for operando studies. 1 110 / 5 000 The project is funded by the ANR DIRAC and ERC AQDtive grants, dedicated to active photonics using colloidal nanocrystals, as
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, and scientific computing with complementary experimental activities, making it a natural setting for modelling‑led research on functional organic materials. IPREM provides a comprehensive environment
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the active layers into photonic cavities, either plasmonic either dielectric. The project will focus on both the emission and detection (increasing absorption) of light (improved coupling to the far field
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, the project will involve active collaboration with Chantal Pichon's team (University of Orleans) and with groups specialized in nucleic acid chemistry. Where to apply Website https://emploi.cnrs.fr/Candidat