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]. By combining simulations and experiments, comprehensive analysis of the process will be achieved and guidelines for optimization will be proposed. The analysis could then be extended to broader range
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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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cell (PCEC) cells. A test bench will be optimized to measure their performance through complex impedance measurements and polarization curves. The work will consist of adapting and optimizing the Fiaxell
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, differentiable optimization or neuromorphic computing • Ability to develop robust, documented and reusable scientific code • Motivation to work at the interface between theory, numerical simulation and
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. The objective will be to determine the optimal correction strategies as a function of tissue type and imaging depth. A second objective will be to exploit this platform for organ-scale mapping of intrinsic label
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the Coating and surface treatment team of the Interuniversity Centre for Materials Research and Engineering (Toulouse, France) The PhD project aims at developing optimized methods to assemble All Solid State Na
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motifs; - establish, optimize, and apply quantitative protein-interaction assays; - perform mammalian cell culture, molecular cloning, mutational analysis, recombinant protein work, and fluorescence
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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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will explore (Gd, Zr, La)-doped HfO₂ as a reference ferroelectric layer and optimize performance (memory window, multilevel writing, endurance) through the fine-tuning of thin films (interlayers
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-synchronized stimulation system (rSynES), developed by Dr. Isabelle Vivodtzev, targets accessory respiratory muscles and has shown promising results in improving respiratory function. Suggesting that it may