Postdoct (M/F) position in the Development of Machine Learning Methods for Single-Cell Multi-Omics Spatiotemporal Data

CNRS, France

Updated: 28 days ago
Location: Paris 15, LE DE FRANCE
Job Type: FullTime
Deadline: 28 Mar 2026

8 Mar 2026
Job Information
Organisation/Company

CNRS
Department

Biologie du Développement et Cellules Souches
Research Field

Mathematics
Researcher Profile

First Stage Researcher (R1)
Application Deadline

28 Mar 2026 - 23:59 (UTC)
Country

France
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

35
Offer Starting Date

1 May 2026
Is the job funded through the EU Research Framework Programme?

Horizon 2020
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Single-cell high-throughput sequencing technologies generate unprecedented volumes of molecular data at cellular resolution, opening new avenues for the application of machine learning to fundamental biological problems. The postdoc (M/F) to be recruited to join the Machine Learning for Integrative genomics team at the Institut Pasteur as part of the ERC Starting Grant MULTIview-CELL, will be working on the development of a virtual tissue model bridging cell-cell communication and gene-gene interactions by exploiting spatial transcriptomics data and network-theoretic approaches.
Contract start date: May 1st 2026 or later depending on your availability

Activities :
- design of a new mathematical method
- monitoring and study of publications relevant to the field
- programming/coding in Python (Pytorch)
- presentation of results at conferences
- interaction with team members and international collaborators

The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant. The team is associated with the Institut Pasteur's Computational Biology Department, UMR3738 and the PRAIRIE Artificial Intelligence Institute. The team recently won ERC StG funding, which is the subject of this recruitment. The candidate recruited will be under Laura Cantini's hierarchical authority.

MULTIview-CELL ERC StG :
- https://www.ins2i.cnrs.fr/fr/cnrsinfo/laura-cantini-un-projet-erc-start…
- https://research.pasteur.fr/en/project/multi-viewcell/


Where to apply
Website
https://emploi.cnrs.fr/Candidat/Offre/UMR3738-DEBPHI-007/Candidater.aspx

Requirements
Research Field
Mathematics
Education Level
PhD or equivalent

Languages
FRENCH
Level
Basic

Research Field
Mathematics
Years of Research Experience
None

Additional Information
Eligibility criteria

Degree : PhD in computer science, machine learning, or computational biology

We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience with existing single-cell methods and software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English both spoken and written is required.


Additional comments

-


Website for additional job details

https://emploi.cnrs.fr/Offres/CDD/UMR3738-DEBPHI-007/Default.aspx

Work Location(s)
Number of offers available
1
Company/Institute
Biologie du Développement et Cellules Souches
Country
France
City
PARIS 15
Geofield


Contact
City

PARIS 15
Website

https://research.pasteur.fr/en/team/genetic-molecular-and-cellular-bases-of-development/

STATUS: EXPIRED

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