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Portail > Offres > Offre UMR9002-EDOBER-004 - Post-doc en vision par ordinateur (H/F)

Post-doc position in computer vision

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : jeudi 14 juillet 2022

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General information

Reference : UMR9002-EDOBER-004
Workplace : MONTPELLIER
Date of publication : Thursday, June 23, 2022
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 September 2022
Proportion of work : Full time
Remuneration : 2739 to 3148 euros/month depending on expérience
Desired level of education : PhD
Experience required : Indifferent

Missions

Perform systematic analyses of gene expression in single cells by high throughput detection of single mRNAs

Activities

The candidate will use and further develop algorithms in image analysis and computer vision to process large scale smFISH screens. Computer vision tasks include challenging segmentation and point cloud classification tasks, some of which have to be addressed with novel state-of-the-art methods in order to answer important biological questions related to RNA localization and local translation in neurons. The candidate will quantify RNA localization in neuronal processes and determine how localization patterns are altered in neurodegenerative diseases. The candidate will relate live and fixed cell data and develop novel methods to predict cell fate.

Skills

PhD. Competence and/or familiarity in Python scripting, image analysis concepts and tools. Interest to work within an inter-disciplinary collaborations and to work autonomously while integrated in a team.

Work Context

Characterizing gene expression at the level of single cells and in the context of the cellular space is a difficult challenge that is driving important conceptual breakthroughs. Messenger RNAs are synthesized at a gene in the nucleoplasm and translated into proteins at specific cytoplasmic locations. Single molecule FISH (smFISH) identifies and localizes all mRNA molecules produced by a given gene, in every cell of large populations. SmFISH thus possesses unique advantages to study gene expression, mRNA localization and local translation. In this project, the candidate will use and further develop algorithms in image analysis and computer vision to process large scale smFISH screens. Computer vision tasks include challenging segmentation and point cloud classification tasks, some of which have to be addressed with novel state-of-the-art methods in order to answer important biological questions related to RNA localization and local translation in neurons. The candidate will quantify RNA localization in neuronal processes and determine how localization patterns are altered in neurodegenerative diseases. The candidate will relate live and fixed cell data and develop novel methods to predict cell fate.

The work will be done in Thomas Walter lab at the Ecole des Mines in Paris (https://thomaswalter.github.io); Florian Müller in Pasteur (https://research.pasteur.fr/fr/member/florian-muller/); Edouard Bertrand lab at IGH/CNRS in Montpellier (https://www.igh.cnrs.fr/en/).

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