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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
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microstructure of bone tissue. This PhD project will investigate lattice structures designed to achieve optimal dynamic performance, as for instance advanced dampers to mitigate unwanted vibrations, or high
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optimizations are still needed to adapt the translation of these mRNAs to the cell types of interest. As part of a collaboration with Chantal Pichon's team (University of Orleans), this project aims to use
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. This innovative converter, with ~680 μW power consumption, 0–5 GHz bandwidth, and 25 GHz sampling capability, will be adapted and optimized for cryogenic quantum instrumentation. The thesis objective is to design
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optimize a multimodal pretargeted radionuclide therapy approach for PDAC, leveraging the simultaneous targeting of both neoplastic and stromal targets to enhance therapeutic outcomes and reduce associated
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activities, as well as the development and/or validation of the performance of various hydrogeological and hydrological calculation codes. You will bring innovative approaches to optimize and anticipate
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-processing pipeline for high-field MRI medical data (normalization, denoising, spatial registration) to optimize the quality and consistency of data used in analyses, and to facilitate the search
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cavitation and the effects observed on biofilms and bacteria, and to understand these links, in order, in the long term, to optimize and control this type of therapy. The profile of the PhD student (M/F) must
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to optimize algorithms for real-time applications, which will also be valued. Additional Information Work Location(s) Number of offers available1Company/InstituteUniversité
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Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or