Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : Institute of Genetics and Development of Rennes
Durée : 24 months
Contact : helene.bouvrais@univ-rennes.fr
Date limite de publication : 2025-03-01

Contexte :
We wish to welcome a highly motivated postdoctoral researcher in our multi-disciplinary team at the Institute of Genetics and Development of Rennes (https://igdr.univ-rennes.fr/en/). Research in the team focuses on the robustness of cell division through fluorescence microscopy and quantitative biophysical approaches, using the nematode model organism Caernorhabditis elegans. The ongoing development of an automated microscope allows the team to extend its studies to human cell lines in culture, without synchronization, a key requirement for the studying division robustness.

Sujet :
The recruited postdoctoral researcher will be an integral part of the on-going research project, funded by the ANR and focused on the study of the regulatory role of microtubule rigidity in cell division. He/she will work on the development of a tool based on artificial intelligence to extract microtubule curvatures from 3D fluorescence microscopy images. In particular, the candidate will use synthetic image generation through simulation (e.g., Cytosim) and deep learning techniques. For this, he/she will have access to local computing servers as well as remote ones (e.g., Jean Zay). Filament curvature measurements will help reveal potential disruptions in microtubule rigidity during genetic perturbation or across cell lines with deregulated expression of candidate proteins involved in regulating microtubule rigidity.

Profil du candidat :

Formation et compétences requises :
– Hold a PhD degree in computer science, machine learning or applied mathematics.
– Have strong theoretical and practical skills in deep learning.
– Master programming languages such as Python.
– Have proven experience in implementing deep learning in image analysis.
– Be able to work collaboratively within a research team ; be a team player.
– Have strong organizational and communication skills, including the ability to express oneself and write in English.
– Ability to work independently.
– Have an interest in working in a multidisciplinary environment (cellular biology, fluorescence microscopy, soft matter physics, bioinformatics)

Adresse d’emploi :
IGDR (Institute of Genetics and Developemnt of Rennes), CNRS, Univ. Rennes, UMR 6290
2 avenue du Professeur Léon Bernard, 35000 Rennes cedex, France

Document attaché : 202501031145_Annonce_post-doc_informatique_ANR_Micenn_EN.pdf