Multimodal AI Postdoc: Breast Radiology & Digital Pathology

Karlstad University; Leuven; Sur place; EUR 52 000 - 66 000; Plein temps

Résumé du poste

KU Leuven seeks a motivated Postdoctoral Researcher in Multimodal AI for Breast Radiology and Digital Pathology. You will develop and benchmark foundation models across radiology and digital pathology, focusing on robust representations for breast cancer across sites and scanner types.

You will collaborate with radiologists, pathologists and computational scientists in an international consortium, publish results, and contribute to open-source software and model documentation.

Qualifications

• PhD in a relevant computational field is required.
• Strong programming skills in Python and ML for medical images are required.
• Experience with radiology image analysis and DICOM is highly preferred.

Responsabilités

• Lead development, fine-tuning and benchmarking of foundation models for breast radiology.
• Develop image-, lesion- and patient-level representations across modalities.
• Integrate radiology and digital pathology embeddings for multimodal diagnosis and prognosis.

Connaissances

Python programming

ML for medical images

Radiology image analysis

Computational background

Formation

PhD in computer science/AI/biomedical engineering

Outils

DICOM

PyTorch

Description du poste

KU Leuven seeks a motivated Postdoctoral Researcher in Multimodal AI for Breast Radiology and Digital Pathology. You will develop and benchmark foundation models across radiology and digital pathology, focusing on robust representations for breast cancer across sites and scanner types.

You will collaborate with radiologists, pathologists and computational scientists in an international consortium, publish results, and contribute to open-source software and model documentation.