Research Associate or PhD student or Postdoc (f/m/x) – Tolkach Lab (KHS-35985)

Your tasks

• Development and application of machine learning algorithms to analysis of digitized pathological images (including vision-language models and multimodal algorithms)

Your Profile

• Completed university education in computer/data sciences, physics, mathematics, bioinformatics, biomedical sciences or similar subject.
• Experience with development and implementation of modern machine learning technologies for computer vision (e.g., classification, segmentation models, attention mechanisms, transformers)
• Good knowledge of Python is a pre-requisite.
• Previous projects in medical domain would be a plus
• Good team and communication skills, ability to work independently

Our Offer

• We provide and have access to numerous high-quality annotated and non-annotated pathology image datasets
• Working within highly clinically relevant research projects
• Computational hardware infrastructure
• Integration with other AI research teams of the University Clinic Cologne and experience of working back-to-back with clinical specialists
• Working in one of the most beautiful and vibrant cities of Germany

Your future with us

Working at the University Hospital Cologne and the Medical Faculty means helping to shape the future - the future of medicine, of patients and, of course, your own future. You benefit from 60 clinics and institutes as well as numerous other departments and facilities and more than 12,000 jobs. The Faculty of Medicine of the University of Cologne and the University Hospital Cologne assume important social tasks in research, teaching and patient care. A close network with many university and non-university partners guarantees an internationally successful science and the excellent education of our students.

Your future in detail

With our expertise and thanks to a wide range of examination techniques, we play a central role in daily medical practice, particularly in the case of tumor diseases. Our diagnoses set an important course for the selection of the right therapy by the treating physicians.

More information is available here.

Contact:PD Dr. Yuri Tolkach
+49 221 478-6365

Application deadline: 18.08.2024

Postal address:Universitätsklinikum Köln AöR
PA23
Geschäftsbereich Personal
50937 Köln