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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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed numerical optimization paradigms, that include
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Europe and UCLA), the PhD candidate will carry out both experimental and numerical investigations to develop an innovative tool for design optimization leading to cost-effective and advanced vortex
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. For these two reasons, it is essential to monitor the injection process parameters in real time in order to adapt to the rheological behavior of recycled polymers, with the aim of ensuring optimal and repeatable
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low-temperature plasmas, covering deposition, fundamental aspects and process optimization trough AI. The work will be performed at Ecole Polytechnique in Palaiseau, France. Starting date : December 2025 at last
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reconditioning are not yet fully defined. This work proposes the application of mathematical optimization strategies for addressing phenomena associated with energy circularity. It leads to including factors
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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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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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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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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 1 day ago
involve either curving straight faced meshes, or the use of some optimization or variational approach. An important aspect is the ability of combining the above techniques with metric based mesh adaptation