2x PostDoc in Computational Pathology / Medical Machine Learning (m/f/d) – Technische Universität München – München

  • Full Time
  • München

Technische Universität München

The Computational Pathology Lab at the Technical University of Munich (www.path.med.tum.de/ai) is looking for talented postdoctoral researchers to deepen their expertise and interest in machine learning for medical image analysis. Ideal candidates have a solid background in a technical field such as computer science, bioinformatics, mathematics, computational life sciences or related, and show a strong publication history, preferably on conferences such as MICCAI, NeurIPS, ISBI, ICCV, ICML, ECCV, or others. They should be fluently familiar with at least one coding language for machine learning or data analysis (e.g. python or R), and demonstrate experience in working with large medical image data. A vivid interest in the analysis of microscopy images or similar medical image data is of course expected. We are a young lab, which is why you can help to shape our lab culture from the beginning. We offer flexible work-conditions, TV-L compensation, and the opportunity to follow your own research interests, as well as to co-mentor students. We provide modern technical equipment and generate our own data in digital pathology. Our lab is located in the middle of Munich (Klinikum Rechts der Isar), and strongly connected to a rich variety of computational groups in the medical domain (Translatum, cBio, cRadio, …). You will work closely with pathologists, medical experts, computer scientists and other young researchers to build new models that help to better understand and treat cancer. If you are interested to join us, please send us your application with CV, publication list, research statement and a cover letter via e-mail to peter.schueffler@tum.de.

The Computational Pathology Lab at the Technical University of Munich (www.path.med.tum.de/ai) is looking for talented postdoctoral researchers to deepen their expertise and interest in machine learning for medical image analysis.

Ideal candidates have a solid background in a technical field such as computer science, bioinformatics, mathematics, computational life sciences or related, and show a strong publication history, preferably on conferences such as MICCAI, NeurIPS, ISBI, ICCV, ICML, ECCV, or others.

They should be fluently familiar with at least one coding language for machine learning or data analysis (e.g. python or R), and demonstrate experience in working with large medical image data. A vivid interest in the analysis of microscopy images or similar medical image data is of course expected.

We are a young lab, which is why you can help to shape our lab culture from the beginning. We offer flexible work-conditions, TV-L compensation, and the opportunity to follow your own research interests, as well as to co-mentor students. We provide modern technical equipment and generate our own data in digital pathology.

Our lab is located in the middle of Munich (Klinikum Rechts der Isar), and strongly connected to a rich variety of computational groups in the medical domain (Translatum, cBio, cRadio, …). You will work closely with pathologists, medical experts, computer scientists and other young researchers to build new models that help to better understand and treat cancer.

If you are interested to join us, please send us your application with CV, publication list, research statement and a cover letter via e-mail to peter.schueffler@tum.de.

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Kontakt: peter.schueffler@tum.de

Mehr Information

http://www.path.med.tum.de/ai

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