• 59/10, Kalkaji Extension, Kalkaji-110019, New Delhi

Mar
16
2026

Postdoc in Advanced Image Processing for Spectral Micro-CT Breast Cancer Imaging - Aarhus University

Postdoc in Advanced Image Processing for Spectral Micro-CT Breast Cancer Imaging - Vacancy at Aarhus University

 

About the research project

This is an interdisciplinary project in spectral (photon-counting) micro-CT imaging of breast cancer combining cutting-edge imaging technology with clinical pathology to develop quantitative 3D imaging biomarkers that bridge high-resolution micro-CT and histology.

Our team includes a medical PhD student with pathology expertise who performs surgical specimen collection, tissue slicing, micro-CT scans, histological processing, and initial registration. The postdoc will lead the image processing and computational analysis efforts, developing robust methods to register, segment, and analyse spectral micro-CT data, and — where relevant — advance reconstruction and material decomposition techniques.

This position is research-intensive and offers excellent opportunities for high-impact publications and international collaboration.

Your job responsibilities

As Postdoc in the Department of Clinical Medicine, your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, especially the PhD student and the supervisors, where you will receive supervision and guidance.

Your main tasks will consist of:

  • Independent research of high international quality, including publication.
  • Developing and implementing deformable image registration between micro-CT volumes and histological sections
  • Designing and evaluating segmentation algorithms for multi-energy spectral CT data
  • Contributing to or leading work on advanced reconstruction, spectral decomposition, or signal processing methods
  • Integrating image processing workflows into reproducible pipelines
  • Publishing results in international peer-reviewed journals and presenting at scientific conferences
  • Collaborating closely with clinical partners and project researchers

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