Postdoctoral Position – Computational Imaging for Ovarian Cancer

France Life Imaging; Montpellier; Sur place; EUR 42 000 - 54 000; Plein temps

Avantages offerts par ce poste

Fully funded postdoctoral position

Access to cutting-edge platforms

Dynamic interdisciplinary team

Résumé du poste

A leading research institution in medical imaging is seeking a postdoctoral researcher to develop models integrating imaging and multi-omics data. This role focuses on enhancing cancer prognosis prediction through machine learning and medical image analysis. The ideal candidate should have expertise in deep learning and medical imaging with a PhD in a related field. The position is fully funded for up to 3.5 years, offering a competitive salary and access to cutting-edge technology.

Qualifications

• Hands-on experience with medical imaging (radiology or digital pathology).
• Demonstrated experience with high-dimensional medical imaging (radiomics/pathomics).
• Proven track record of peer-reviewed publications.
• Publications dans des revues à comité de lecture.

Responsabilités

• Extracting and integrating histopathology and radiology data.
• Developing and validating models for virtual biopsy and digital twin.
• Designing robust tools for imaging data pre-processing.
• Contribuer aux demandes de financement nationaux et européens.

Connaissances

Strong programming skills

Machine Learning

Deep Learning

Excellent communication skills

Formation

PhD in Biomedical Engineering, Computer Science, Medical Imaging

Outils

Python

Scikit-learn

TensorFlow

PyTorch

PyRadiomics

QuPath

Description du poste

Overview

Contexte et mission : Project Overview : This project focuses on developing machine learning, data fusion, and medical image analysis methods to objectively improve cancer prognosis prediction. The project is centered on computational treatment of medical images (CT, MRIs, histology slides). About the Position : We are seeking a highly motivated postdoctoral researcher with strong computational expertise to lead the development of models integrating imaging and multi-omics data. The successful candidate will work at the interface of medical imaging, artificial intelligence, and translational oncology.

Responsibilities

• Extracting and integrating histopathology (pathomics) and radiology (radiomics) data (work on deep features, clustering, habitat imaging).
• Developing and validating models for virtual biopsy, digital twin.
• Designing robust tools for imaging data pre-processing.
• Contributing to national and European research grants.
• Supervising and mentoring BSc, MSc, and PhD students on innovative research projects.

What We Offer

• Fully funded postdoctoral position (up to 3.5 years) within an internationally recognized research environment.
• Opportunity to work within a dynamic, interdisciplinary, and international team at the crossroads of AI, oncology, and precision imaging.
• Access to cutting-edge platforms, including high-field MRI (3T/9.4T), spatial histology, transcriptomics, proteomics, and imaging mass cytometry.
• Full-time | 1-year contract renewable up to 3.5 years | Start date: late 2025 / early 2026

Rémunération

Competitive salary aligned with INSERM standards, based on experience.

Diplômes requis

• Please do not apply if you lack hands-on experience with medical imaging (radiology or digital pathology).
• PhD in Biomedical Engineering, Computer Science, Medical Imaging, or related disciplines.
• Strong programming skills: Python, Machine Learning, Deep Learning (e.g., Scikit-learn, TensorFlow, PyTorch).
• Demonstrated experience with high-dimensional medical imaging (radiomics/pathomics), including tools such as PyRadiomics and QuPath, histomix.
• Proven track record of peer-reviewed publications.
• Excellent communication and organizational skills.

Compétences requises

• Please submit: A detailed cover letter outlining your motivation and relevant experience. Your CV, including a list of publications. Contact information for two referees. Portfolio or project examples (optional).
• Important: Applications must be sent by email only (please do not apply via LinkedIn).

Contact

[e-mail]
Subject: Postdoctoral Application – OASIS Project