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CNRS

Just Landed

PhD in inverse problems for biomedical images CNRS in France

Degree Level

PhD

Field of study

Computer Science

Funding

Funded by the ANR UNGRAM project; support for workshops and conferences is mentioned.

Deadline

Jan 11, 2027

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Country

France

University

CNRS

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Deep Learning
Medical Science
Optimisation
Texture Analysis
Breast Imaging
Statistics
Inverse Problem
Physics

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About this position

This PhD project is about inverse problems for biomedical images, with a specific focus on mammography and breast cancer risk assessment. The research aims to improve the analysis of X-ray mammograms by developing denoising methods that preserve the fine structural properties of mammographic textures, especially the self-similarity and fractal characteristics that can reveal patterns linked to cancer risk.

The thesis is rooted in the challenge that risk-related parenchymal patterns can be difficult to distinguish visually, even for experienced radiologists, because healthy dense tissue and degraded tissue may look very similar. Recent work suggests that self-similarity analysis can help assess microenvironment degradation in mammograms, but this is highly sensitive to measurement noise. The student will therefore work on methods that remove noise while preserving the informative texture structure needed for multiscale analysis.

The doctoral work will combine model-based approaches and data-driven approaches for image denoising. The project explicitly brings together optimization and deep learning in order to design methods that are accurate, robust, and interpretable. The topic sits at the intersection of biomedical image analysis, inverse problems, and modern computational imaging.

The doctoral candidate will be employed by the Centre National de la Recherche Scientifique within the ANR UNGRAM project led by B. Pascal. The position is embedded in a strong scientific consortium involving researchers in Nantes, Vannes, and Tours, as well as international collaborators in the United States and Italy. The student will also have the opportunity to interact with a postdoctoral researcher and two interns recruited in the project, within a collaborative research environment focused on biomedical imaging and multiscale analysis.

Funding details

Funded by the ANR UNGRAM project; support for workshops and conferences is mentioned.

How to apply

Apply via the provided job portal link. Consult the detailed English thesis description at the linked UNGRAM document for more information before applying.

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