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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 | 3 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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. The PhD student will aim at pursuing the recent work by optimizing the growth of GaN semiconductor films in terms of structural, electrical and optical properties along with exploring AlN and Ga2O3
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD is part of the Franco-Spanish interregional
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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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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The work proposed for this post PHD position involves studying and
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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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» Chemical engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in computer sciences or chemical engineering Cover letter, research summary and CV Strong skills in optimization and programming
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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