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PINKCC: Precision Imaging as a Key in cancer Care. Postdoctoral Position in the computational Ovarian Cancer Imaging lab &##128205; PINKCC Lab, Institut du Cancer de Montpellier, France &##128338; Full-time | 3 years (starting autumn 2025) &##128188; ERC-Funded Position (MR-O-Mics Project) &##129504; 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). &##127919; 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. &##128295; 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. &##129514; 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. &##128221; 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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