Postdoctoral Positions in Machine Learning for Single-Cell Multi-Omics at Institut Pasteur Institut Pasteur in France

Two postdoctoral positions are available in the Machine Learning for Integrative Genomics group led by Laura Cantini at Institut Pasteur, Paris. The team focuses on developing advanced machine learning methods for the analysis of single-cell multi-omics spatiotemporal data, aiming to uncover novel biological mechanisms from complex datasets. Research topics include integrative genomics, bioinformatics, and computational biology, with a strong emphasis on leveraging the richness of high-throughput single-cell sequencing data.

The group operates at the interface of computer science and biology, providing an interdisciplinary environment for postdoctoral researchers interested in both methodological development and biological applications. All tools and resources developed by the team are openly available, fostering a collaborative and innovative research atmosphere. The lab is affiliated with both Institut Pasteur and Università degli Studi di Torino, offering opportunities for international collaboration.

Applicants should have a PhD in computer science, bioinformatics, computational biology, or a related field, with experience in machine learning and single-cell data analysis being highly desirable. The positions are fully funded, with details on salary and benefits provided in the official announcement. For more information and to apply, visit the provided links or contact the lab directly.