Postdoctoral position in TDA for personalized medicine at CRESS (Paris, FRANCE)
The team METHODS of the Centre de Recherche Epidémiologie et
Statistiques/Université Paris Cité-INSERM (CRESS-U1153) is looking for a
post-doctoral fellow for the ToROTR project lead by Francois Petit.
The aim of the ToROTR project is to develop and study topological,
geometric and statistical methods to develop optimal treatment rules and
evaluate their robustness. This interdisciplinary project encompasses a
diverse range of domains, including topological data analysis, causal
inference, and machine learning. We warmly welcome applicants from
various backgrounds who are eager to learn and explore new topics.
Various questions may be studied within this project, depending on the
candidate’s expertise.
We are searching for a dedicated candidate with a strong mathematical
background and a doctoral degree in mathematics, statistics, or machine
learning, who possesses a keen interest in applying their skills to
health sciences. Candidates with strong expertise in topological data
analysis and experience in coding and working with real data are very welcome.
Team and location: The team METHODS of CRESS, located at Hôtel-Dieu hospital in the
center of Paris, is affiliated to Université Paris-Cité and Inserm.
Duration: 12 months
Contact: francois.petit@inserm.fr
How to Apply: Your application should include a cover letter with a
brief account of your research interests and motivation for applying for
the position, a resume and a complete list of publications, the name,
and email address of 2 references.
More info at http://www.fpetit.org/Postdoc/Postdoc_ToROTR.pdf
The deadline to apply is the 15h of September 2023.