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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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thin films. Technical difficulties remain however for the realization of optimal epitaxial layers, in accordance with this new approach and able to withstand a voltage of 1400 V. The proposed thesis will
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of chemical compounds (NMR, GC-MS, IR, X-Ray). The student will also have access to modern optimization methods for catalytic systems, such as highthrouput experimentation (HTE, collaboration with the HTE
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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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compatible with high-speed imaging over long durations, (2) optimize system control and develop signal processing tools, and (3) apply it to imaging challenges involving organoids and living biological tissues
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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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system. To achieve this, the PhD will combine: instrumental development (optical optimization, illumination strategies, multi-camera synchronization), optical modeling (contrast mechanisms in phase
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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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: For applications requiring short packets / low latency, it is important to obtain tight bounds for the optimal secrecy rate in finite blocklength. Building on the theoretical breakthrough by Polyanskiy
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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