Two Postdoctoral (M/F) Positions in the Development of Machine Learning Methods for Single-Cell[...]

Organisation/Company CNRS Department Biologie du Développement et Cellules Souches Research Field Mathematics Researcher Profile First Stage Researcher (R1) Application Deadline 18 Apr 2026 - 00:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC 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 postdoctoral researchers will be recruited to join the Machine Learning for Integrative genomics team at Institut Pasteur in the context of the ERC Starting Grant MULTI-viewCELL.One position will focus on the development of multi-modal Foundation Models that integrate single-cell omics with spatiotemporal information. The second position will address the development of a virtual tissue model, exploiting spatial transcriptomics data and network-theoretic approaches.

Responsibilities:

• 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 ( - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: ). The team is composed of 9 people : 4PhD 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 postdoctoral researchers recruited will be under Laura Cantini's hierarchical authority.

Degree : PhD in computer science, machine learning, or computational biologyWe 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.