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of neuronal and vascular responses; Contributing to the instrumental development of the system (optimization of detection, illumination control, multi-camera synchronization); Analyzing and interpreting
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PhD position under LUMEN project funded by BPI-France, France 2030 and Normandy Region within I-Démo 2024 program. The project gathers experts in fiber laser design, realization and qualification aiming
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defended their PhD and have not yet undertaken a postdoctoral position are eligible. The candidate will carry out scanning tunneling microscopy (STM) experiments in a cryogenic and ultra-high-vacuum
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. To that aim, both Stein-based bilevel optimization, empirical Bayesian and unsupervised deep learning approaches will be considered. The recruited postdoc researcher will tackle both implementation challenges
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the most informative polarimetric parameters and optimal wavelengths for detecting abiotic stress. This approach will contribute to more accurate digital phenotyping, supporting sustainable crop monitoring
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, manufactured using a hybrid PIP (Polymer Impregnation & Pyrolysis) - CVI (Chemical Vapor Deposition) process from a ceramic fiber preform. This process requires optimization, whereby the structure of the porous
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of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret
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activity - Conducting catalytic tests (liquid-phase hydrogenation) - Interpreting results to understand reaction pathways and observed phenomena, and proposing practical and effective solutions to optimize
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Interatomic Potentials) code for ternary compounds with variable composition with crystal structure optimization algorithms (evolutionary, random, etc.); - Application of the CSP DFT/MLIP methodology to various
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coordination complexes. Preparation and optimization of new molecular or hybrid materials. Structural and physico-chemical characterization (e.g., NMR, UV-Vis, IR, Raman, diffraction, electrochemistry, magnetic