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Portail > Offres > Offre UAR3426-EDIDEM0-032 - Ingénieur en ingéniérie logicielle (H/F)

Software Engineering Engineer (M/W)

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

Date Limite Candidature : vendredi 13 août 2021

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General information

Reference : UAR3426-EDIDEM0-032
Date of publication : Friday, July 2, 2021
Type of Contract : FTC Technical / Administrative
Contract Period : 24 months
Expected date of employment : 1 October 2021
Proportion of work : Full time
Remuneration : Between €2,109 and €2,642 gross monthly, depending on diploma and experience
Desired level of education : 5-year university degree
Experience required : 1 to 4 years


Participate in the development, integration, and deployment of the cloudFISH software in compliance with the specifications.


- Write and upgrade technical documentation
- Development of software packages
- Design and packaging
- Develop tests
- Integration with existing software
- Create and test application packages and production deployment scripts
- Deployment into production
- Managing version control and bug reporting by beta testers
- Provide technical assistance to users and beta testers
- Train users and facility managers
- Animate and coach platform engineers and users.


- The candidate will have expertise in Python programming.
- Experience with web programming, image analysis, deep learning frameworks, deployment of server applications with containers and Kubernetes will be an advantage but is not compulsory.
- Candidates are expected to express a strong interest in working at the interface between informatics with physics and biology.

Work Context

CloudFISH is a consortium grouping the labs of Marcelo Nollmann (CNRS Montpellier), Florian Mueller (Zimmer team, Pasteur Institute) and Thomas Walter (Mines Paristech). Our groups develop imaging-based technologies to visualize DNA and RNA with high spatial resolution, with the aim of understanding transcriptional regulation and genome organization. Our past developments include FISH-quant, a software package for the sub-cellular detection of RNAs from single molecule FISH images (Mueller, 2013), Hi-M, a multiplexed imaging-based method to trace chromatin architecture and transcriptional status in single cells (Cardozo, 2019), and deep learning-based approaches to identify mRNA localization patterns (Dubois, 2019). The aim of cloudFISH will be to build and deploy user-friendly, scalable tools to analyze multiplexed RNA-FISH and DNA-FISH data using deep learning approaches with remote computing servers. The candidate will integrate the group of Marcelo Nollmann (Montpellier) to work under his supervision.

Constraints and risks

Screen work

Additional Information

Relevant Publications
Mueller, et al., Nat Methods. 10: 277–278, 2013.
Cardozo Gizzi, et al., Mol Cell 74, Issue 1, p1-222, Apr 2019; Nature Protocols 15(3):840-876, 2020.
R. Dubois et al., IEEE conference (ISBI), pp. 1386–1390, 2019.

Please visit our websites for further details: http://nollmannlab.org/

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