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of these oxides using transmission electron microscopy (derived from an innovative process developed at LEPMI). He/She will help refine the structural models of the oxides resulting from the processes
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
respecting the specific constraints of emergency situations. Required Skills and Candidate Profile The project is intended for a candidate with: ➢ Skills in medical image processing and deep learning adapted
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: the Center for Nuclear Sciences and Material Sciences (CSNSM), the Laboratory for Imaging and Modeling in Neurobiology and Cancer Research (IMNC), the Orsay Institute of Nuclear Physics (IPNO), the Linear
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Sanson at SIMM (ESPCI), our group at MSC has set up a simple process to obtain stimuli-sensitive non-Brownian particles in large quantities that can be then dispersed in a variety of solvents. The
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, the postdoctoral fellow will seek to elucidate the fundamental processes leading to the formation of the "Solid Electrolyte Interphase" (SEI) in batteries. This will include understanding the precipitation of
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signal and/or image processing. - Skills in modeling tools and time–frequency representations. - Practical skills in scientific programming, ideally in Matlab and/or Python. - Knowledge
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-efficient lighting, high- efficiency data communication and data storage, environmental sensing, efficient manufacturing process and efficient transportation. We aim to contribute to these challenges by
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student at the University of Paris-Saclay attached to the doctoral school of Particles, Hadrons, Energy and Nucleus: Instrumentation, Image, Cosmos and Simulation (PHENIICS). This work will be carried out
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, including Titan Krios and Glacios microscopes, a fully equipped crystallography platform, advanced computing clusters, proteomics and BSL-2/3 imaging facilities. The institute provides numerous training
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between complex instances such as point clouds, images or graphs. However, as the modern data are increasingly high-dimensional, OT is also now facing an old problem in optimization and statistical learning