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compression and its co-optimization with memory technology characteristics and constraints. You will work within CEA-Leti and CEA-List institutes, benefiting from a forefront ecosystem for AI model
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. •Experimentation: Testing the system in real or simulated scenarios, with different light configurations. •Optimization: Improving robustness and the reconstruction accuracy (large environment
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: Master's (M2) or engineering-school student in machine learning, applied mathematics or computer science Strong linear algebra; probability and optimization are a plus Solid Python and PyTorch Care in
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Optimization of Core-Shell Microcapsules Formation in a Centrifugal Microfluidic Device for the Standardized Production of Organoids Contract duration (months) 6 months Job description As part of an innovative
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characterization process. • 3D Image Processing & Analysis: Actively contributing to 3D image reconstruction, segmentation, and quantitative analysis. • Method Optimization & Automation: Developing
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materials optimization. You will interact with CEA-Leti teams working on FeRAM fabrication and advanced characterization. Applicant Profile You have a background in materials science, physics or
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understanding spatial variations in luminescence and carrier dynamics. Work description: The work will include: 1. Development and optimization of TRCL measurement protocols for microLED
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!), used in future quantum computer or spatial radio astronomy applications This internship provides an opportunity to improve our understanding of reliability physics at cryogenic temperature, and to offer
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pertinente qu’il doit avoir du monde observé. [1] A. Roperch, F. Ledoux, and J.-Ch. Janodet. QuadOpt-RL: Reinforcement Learning Agent for Quad Mesh Optimization, SIAM IMR 2026. [2] G Skenderi, et al
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-manual dexterous setup to reliably solve complex assembly tasks. The following works conducted at the lab will serve as a basis for the internship: https://cea-list.github.io/cotograspweb/ https://cea