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Asier Antoranz

Top university

4 days ago

PhD and Postdoctoral Positions in AI for Digital Pathology and Multimodal Breast Cancer Imaging KU Leuven in Belgium

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Both positions are full-time, three-year positions at KU Leuven. The post does not mention stipend amount, tuition coverage, or other financial details.

Deadline

Oct 2, 2026

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Country

Belgium

University

KU Leuven

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Keywords

Computer Science
Biology
Radiomics
Medical Science
Breast Cancer
Salud Pública
Breast Imaging
Digital Pathology

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About this position

KU Leuven is hiring for two research positions in AI for digital pathology and multimodal breast cancer imaging within the M4GIC-ILC EIC Pathfinder project. The work focuses on improving the clinical management of patients with invasive lobular breast cancer by integrating pathology, radiology, molecular, and clinical data.

Open roles:

PhD researcher — Pathology foundation models
Adapt and benchmark foundation models for digital pathology, with applications in virtual staining and prediction of multi-gene signatures. A strong computational background and experience in machine learning are expected; prior pathology knowledge is a plus.

Postdoctoral researcher — Multimodal AI for breast radiology and digital pathology
Develop breast-imaging foundation models and integrate radiology with digital pathology to build multimodal AI models. A strong computational background and research experience in radiology image analysis are required.

Both positions are full-time, three-year appointments based in Leuven, working closely with clinical and computational researchers across an international consortium. The post does not mention a scholarship programme, stipend amount, or tuition coverage.

Application deadline: PhD by 2 October 2026; Postdoc by 25 September 2026. Applicants should use the vacancy links and submit through KU Leuven’s official application portal only.

Research keywords: medical AI, digital pathology, pathology foundation models, multimodal AI, breast radiology, breast cancer, virtual staining, multi-gene signatures, radiology image analysis.

Funding details

Both positions are full-time, three-year positions at KU Leuven. The post does not mention stipend amount, tuition coverage, or other financial details.

What's required

PhD applicant: strong computational background and experience in machine learning; prior pathology knowledge is a plus. Postdoctoral applicant: strong computational background and research experience in radiology image analysis are required. Both positions are full-time, three-year research roles.

How to apply

Apply via the vacancy links provided in the post. Use KU Leuven’s official application portal; only applications submitted through the official portal will be considered.

More information can be found here

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