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il y a 3 jours


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**Deep-learning based analysis of microtubule network in cells**: - Réf **ABG-133269** - Stage master 2 / Ingénieur - Durée 6 mois - Salaire net mensuel 659,76 € brut mensuel - 01/09/2025 - Institut Génétique & Développement de Rennes (IGDR) - Lieu de travail- Rennes Bretagne France - Champs scientifiques- Informatique - Biologie - Biotechnologie - Mots clés- Microscopy, Microtibules, Deep Learning, Medical imaging- 19/12/2025 **Établissement recruteur**: **Site web**: **Host laboratory**: The internship will be carried out within the Rennes Institute of Genetics and Development (IGDR, UMR 6290), and more specifically in the CeDRE team "Reverse Engineering of the Cell Division". Our team - which has the specificity of being an interdisciplinary team made up of specialists in biology, physics, image analysis, artificial intelligence and bioinformatics - studies cell division robustness using a cell biophysical approach. For this, we use the first division of the Caenorhabditis elegans nematode, an established model of cell division, and then validate our findings in Human cells. We aim to understand the robustness of cell division by studying and modelling the biophysical and mechanical interactions between the molecular actors of mitosis, which are the microtubules and their regulators, as well as the molecular motors. **Description**: **Internship project**: **References**: [1] Bouvrais, H., et al., Biophysical Journal, 2018. 115(11): p. 2189- 2205. [2] Bouvrais, H., et al., EMBO reports, 2021. 22(5): p. e50770. [3] Ait Laydi, A., et al., arXiv preprint arXiv:2507.07800, 2025 **Duration**: From 2 to 6 months **Period**: Between January and July 2026. **Contact**: Dr Sidi Mohamed Sid’El Moctar (post-doctoral fellow) Dr Hélène Bouvrais (CNRS Researcher) **Profil**: **Skills**: - Required: Solid programming skills in Python; Basic understanding of deep learning architectures (e.g., CNNs, U-Net). **Skills that will be acquired**: Image analysis, deep-learning, microscopy, Improvement in English, teamwork skills. **Prise de fonction**: - Dès que possible


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