Keywords: single-cell genomics, multi-omics, machine learning, graph neural networks, optimal transport
We are looking for two highly motivated postdoctoral scientist (f/m/x) to join the Cantini lab, affiliated
to the PaRis Artificial Intelligence Research InstitutE (PRAIRIE), currently at École Normale Supérieure (ENS) and soon (Jan 2023) joining Institut Pasteur.
The recruited postdocs will work in Machine Learning for Single Cell Genomics. In particular, they
will be developing machine learning methods for multi-omics single-cell data integration, both aimed
at studying cellular heterogeneity and its underlying regulatory mechanisms.
Required skills
- PhD in Data science, Computer Science, Computational Biology, or related fields
- Previous experience in the design and implementation of machine learning tools/algorithms
- Strong analytical and programming (R, Python…) skills
- Previous experience with applications to biology, single-cell data analysis, graph neural
networks, or optimal transport will be a plus
Team and location
The Cantini lab is an interdisciplinary team composed of researchers in data science, computational
biology and bioinformatics. The project will be developed in close collaboration with Gabriel Peyré
(ENS).
The recruited researchers will be based with all the team at Institut Pasteur, a world-renowned center of
excellence for research in infectious diseases, assuring tight collaboration with computational biology
and wet-lab biology experts. In addition, the affiliation to the PRAIRIE institute, one of the 4
Interdisciplinary Institutes for Artificial Intelligence research set up as part of the national strategy for
Artificial Intelligence, providing interaction at AI and machine learning level.
Application
The Postdoc positions will be for 2 years, with possibilities for renewal. To apply, please submit: a cover
letter summarizing research interests and expertise and a Curriculum Vitae (including contact
information for at least two references) to Laura Cantini.