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Postdoctoral Researcher


PINKCC: Precision Imaging as a Key in cancer Care.

Postdoctoral Position in the computational Ovarian Cancer Imaging lab

📍 PINKCC Lab, Institut du Cancer de Montpellier, France

đź•’ Full-time | 3 years (starting autumn 2025)

đź’Ľ ERC-Funded Position (MR-O-Mics Project)

đź§ 

Project Overview

The PINKCC lab (Precision Imaging as a New Key in Cancer Care), led by Prof. Stéphanie Nougaret, has launched

a transformative ERC-funded research project—MR-O-Mics—to decode high-grade serous ovarian cancer imaging

(HGSOC).

🎯

About the Role

We are seeking a highly motivated postdoctoral researcher to lead the development of computational models

extracting and integrating multi-o-mics data with a specific focus on imaging. The candidate must demonstrate

strong methodological rigor and have an excellent understanding of project requirements to develop relevant and

robust solutions.

This position will include:

- Training models for clinical/pre clinical/histopath imaging data extraction and integration;

- Develop useful tools to pre-process clinical/pre clinical/histopath imaging data and validate prediction models;

- Help in writing grant proposals to acquire funding at both a national and European level;

- Assist students (at PhD, MSc. and BSc. levels) in designing and developing exciting and useful research projects.

đź”§ Required Skills & Qualifications

• PhD in Biomedical Engineering, Computer Science, Medical Imaging, or a related field.

• Strong programming skills in Python, Machine Learning and Deep Learning (e.g., Scikit-learn,

TensorFlow / PyTorch).

• Strong experience with high-dimensional Medical Imaging radiomics and/or pathomics (e.g.,

PyRadiomics, QuPath).

• Strong communication skills and a track record of peer-reviewed publications.

• Design and document relevant evaluation protocols to validate model robustness. Ensure complete

traceability of experiments and technical choices

Nice to have:

• Familiarity with high-resolution MRI or functional imaging (DWI, DCE).

• Experience in radiogenomics or integration of multi-omics datasets.

• Experience in explainable AI methods.

• Experience with HPC.

• Version control: Git, collaborative development practices.

• Background in gynecologic oncology or cancer imaging.

đź§Ş

What We Offer

• A 3-year fully funded position as part of an ERC Starting Grant.

• Access to advanced platforms: clinical and high-field MRI (3T/9.4T), spatial histology, transcriptomics,

proteomics, and imaging mass cytometry.

• Work in a vibrant, interdisciplinary team at the intersection of imaging, oncology, AI, and translational

research.

• Salary based on INSERM scales and experience.

📝

To Apply

Please send:

• A motivation letter

• CV (with publications)

• Names and contact information of 2 references

• Portfolio Projects if you have it

to: stephanie.nougaret@icm.unicancer.fr

Subject: Postdoctoral Application – MR-O-Mics Project

Applications will be reviewed on a rolling basis. Start date :autumn 2025.

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