Asier Antoranz

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KU Leuven
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Belgium

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Asier Antoranz

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KU Leuven

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

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.

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