We are seeking an outstanding Postdoctoral Researcher to join the VHIO Radiomics Group and lead innovative research at the intersection of artificial intelligence, computational medical imaging, and multi-omics integration for precision oncology.
The successful candidate will play a leading role in developing next-generation computational methods for quantitative imaging biomarkers and multimodal AI models that integrate medical imaging, molecular profiling, pathology and clinical data. These approaches will support early cancer detection, patient stratification, prognosis, and prediction of treatment response.
Beyond conducting high-impact research, the successful candidate is expected to contribute to the scientific leadership of the group by mentoring PhD students and junior researchers, fostering collaborations across disciplines, and contributing to competitive research proposals and high-impact publications.
Key Responsibilities
Develop novel computational approaches for quantitative medical image analysis
Develop imaging biomarker tools
Apply artificial intelligence for precision oncology
Integrate multi-omics data combining imaging, genomics, pathology and clinical data
Predictive modelling for early cancer detection, patient prognosis and treatment response prediction
Develop reproducible research pipelines and software for translational cancer research
Qualifications
PhD in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical Imaging, Computational Biology, or a closely related discipline.
Proven research experience in Artificial Intelligence, with a strong publication record in machine learning and/or deep learning for biomedical applications.
Demonstrated expertise in computational medical image analysis.
Mandatory experience in MRI analysis and/or the development or application of Large Language Models (LLMs) for biomedical or clinical research.
Excellent programming skills in Python.
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📌 2026-046-01 Postdoctoral Researcher (Madrid)
🏢 Vall d'Hebron Institute of Oncology (VHIO)
📍 Madrid
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