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modeling and optimization methods for the management of multi-energy platforms integrating electricity and heat systems within. The research aims at characterizing and valorizing the flexibility potential
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-V’s, the identification of optimal conditions for minimizing defects, and the optimization of strain distribution, paving the way for more stable and high-performance quantum devices. Structural
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
nonlinear optimal control algorithms. Experimentally validating the proposed methods on a waste-sorting robotic platform. Contributing to mechanical and mechatronic design choices whenever they influence
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with multiple electrodes – multipolar catheters – are increasingly used to facilitate electroanatomic mapping of the atria before ablation. Despite advances in ablation technology, the search for optimal
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
analysis of mechanisms, mechatronic design, and robot architecture optimization. This PhD is part of a collaborative research project with the Gepetto team at LAAS-CNRS (Toulouse). The PhD candidate will
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to the hazardous noisy non-convex optimization. • The scope of (new) applications is very large. Initially we will focus on qubit systems but in a second step we will consider Hubbard like models for strongly
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. This thesis aims to model, optimize, and experimentally validate such an optical ultrasound sensor based on resonant metasurfaces. The work will focus on three main areas: 1. Multi-physics Modeling: Development
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(ISCR), is to design electrochemical and optical tools to analyze this process, enabling determination of optimal conditions for surface functionalization. This will require the development of two new
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of the tissue using water-soluble clearing and refractive index matching media, and evaluating the benefits of this approach for three-dimensional imaging. The first year of the project will focus on optimizing
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cellular changes. Advanced imaging techniques, including structural and functional-MRI, developed by Dr. Emmanuel Barbier (GIN director), will be used to optimize rSynES and monitor neuronal changes over