Postdoc: Reproductive Epithelium Repair & Bioinformatics

CNRS - National Center for Scientific Research

France

On-site

EUR 38,000 - 52,000

Full time

4 days ago
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Benefits offered by this job

44 days annual leave
RTT (reduced working time) days
Remote working policy and allowance
Public transport allowance

Job summary

The Ragazzini lab at the Institute of Human Genetics (IGH) of CNRS in Montpellier, France, invites applications for a postdoctoral position starting February 2027. The role focuses on molecular mechanisms of reproductive epithelial tissue repair in ageing and endocrine disease, combining experimental work (60%) with bioinformatics analyses (40%).

The candidate will work in an internationally oriented lab with state-of-the-art equipment and collaboration across disciplines, contributing to

Qualifications

  • PhD in molecular biology, cellular biology, or physiology.
  • Eligibility for postdoctoral fellowships (EMBO, MSCA, HFSP, FRM, La Ligue contre le cancer) would be an advantage.
  • Experience in designing and conducting independent research projects is essential.

Responsibilities

  • Contribute to the smooth running of the laboratory, including project planning and equipment maintenance.
  • Design and conduct a research project aligned with the lab's objectives.
  • Develop 2D/3D in vitro models of reproductive tract tissues using animal and human samples.
  • Characterize phenotypes via immunostaining and flow cytometry.
  • Analyze bioinformatics data from the projects.

Skills

English: B1/B2
Data analysis
Scientific presentation
Organization
Collaboration

Education

PhD in molecular biology, cellular biology or physiology

Tools

ATAC-seq
ChIP-seq
RNA-seq
Flow cytometry
Mouse handling

Job description

The Ragazzini lab at the Institute of Human Genetics (IGH) of CNRS in Montpellier, France, invites applications for a postdoctoral position starting February 2027. The role focuses on molecular mechanisms of reproductive epithelial tissue repair in ageing and endocrine disease, combining experimental work (60%) with bioinformatics analyses (40%).

The candidate will work in an internationally oriented lab with state-of-the-art equipment and collaboration across disciplines, contributing to

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