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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 6 days ago
research lab consists of more than 20 researchers, faculty members, PhD students, engineers and interns, working in the field of image processing and neuroimaging. The team targets the detection and
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, develop, and transfer Magnetic Resonance Elastography (MRE) protocols on the MRI scanners of the BNIF platform, in collaboration with LMGC and L2C. Develop data processing methods to characterize
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rechargeable batteries. In this context, one of the challenges involves optimizing the electrolyte, which determines the stability of the metallic anode, the electrochemical window, and interfacial processes
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Department (DRIS), you will participate in research activities on the optimization of non-Newtonian fluid injection for the decontamination of polluted soils. Tests will be conducted, in 1D columns, in 2D
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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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experiments in order to optimize processes -coordination with the ANR project partners (academic and industrial) in order to meet the objectives of the project The mission will be carried out at the LULI
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
from statistics, optimization and control, in order to build more efficient algorithms able to better estimate uncertainty, exploit structures, or adapt to some non-stationary context. He was the PI
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tasks that best suit your strengths. This could involve the design, optimization, and fabrication of advanced devices using numerical methods like FDTD; taking charge of spectroscopic experiments
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. This postdoc will be conducted within the ANR-funded ITS-STORY project, a multidisciplinary collaboration involving computer scientists, historians, ergonomists, the Mémorial de l'Internement et de la
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) understanding of the mathematical foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on Neural Networks, 3) problem solving