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Python-based frameworks or a web application) enabling image upload, AI-based analysis, and visualization of bacterial phenotypes. Perform image analysis using existing deep learning algorithms developed
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. Start date: November 2025 To apply: Application to the CNRS portal: https://emploi.cnrs.fr/Offres/CDD/UMR8252-JERBAR-002/Default.aspx?lang=EN Missions Our team’s goal is to understand how the brain
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cells at the choroid plexuses on brain development. Our lab investigates how immune cells and signals shape brain development, activity, and aging. In this project, we aim to dissect the contribution
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embodied neuroAI. Led by Jean-Baptiste Masson (DR, theoretical physicist), with deputies Christian Vestergaard (CR), Alex Barbier-Chebbah (CR), and François Laurent (IR, applied mathematician and software engineer
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and coordinate large-scale structural projects (shared infrastructure, cross-disciplinary technology programmes, calls for projects). Manage the C2RT: lead its strategic development and oversee
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redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic
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of brain MRI (magnetic resonance imaging) phenotypes to better understand the underlying biological pathways and support the development of biomarkers addressing the lack of gold standards in mental health
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