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optoelectronic materials through advanced characterization and AI-guided optimization of epitaxial growth parameters. The PhD student will work on the various technological building blocks of the epitaxial growth
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ionogels. The candidate will test these electrolytes at LAAS on locally developed electrodes and will carry out research stays at PolyMAT to optimize their integration with MnO₂-based systems. - ICMAB-CSIC
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three scientific research departments, themselves organized into teams. The PhD will take place more specifically within the MAORE team, whose members use tools from combinatorial optimization, graph
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the evaluation, the intensification and the optimization of carbonation (biotic and abiotic) processes involving different feedstocks, to address three different applications of industry decarbonation, in straight
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to the industrial recovery and reuse of these critical elements. More specifically, the proposed mission will explore two avenues: - optimization of Rh solubilization during dissolution of model
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silicon waveguides with a nanometric core. This work will include the development and optimization of simulation tools for the design of these waveguides, combining numerical results with simplified models
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influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
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approaches to avoid costly design and fabrication cycles for the optimization of these circuits are possible, in particular the use of Look-Up-Table (LUT)-based techniques that exploit the characterization
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measurements, to understand and to optimize their performance, in particular by taking into account new data measurement from real-life devices. Skills For this position, you should meet the following
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for their functions in PDE, or co-precipitation with known PDE factors, which could not recover transient and/or unstable interactors. To overcome these limitations, this project aims to a) optimize Cas13-based gene