• development of computational methods and processing pipelines for large image datasets
• application of existing and development of new analytical and ML solutions
• data visualization and communication
• work in close collaboration with our medical collaboration partners
• managing the project in terms of data organization and
  analysis

• MSc degree in computer science, physics, bioinformatics, or a related field
• excellence in programming (python)
• proven experience with deep learning
• experience with computation on cluster architectures is a plus
• great communication skills, capacity of working in a team and in an interdisciplinary environment

• opportunity to apply and develop cutting-edge machine
  learning and computational technologies to resolve timely medical and scientific problems
• collaborative, and international multi-disciplinary working environment where colloquial and working language is English
• development and networking through participation in
  workshop and conferences both ML and biology or
  medicine Please visit  https://www.bozeklab.com/ to learn more about the group’s interests and ongoing research.

Located at the biomedical campus of the University of Cologne the “Data Science of Bioimages lab” is working on data-intensive problems in biomedicine by combining machine learning, statistical and other computational methods. Image data and deep learning solutions represent key focus of our research. Embedded in the
thriving biomedical research hub of Cologne, we are involved in scientific collaborations with partners across medical disciplines and address questions ranging from histopathology of cancer to behavioral changes in neurodegenerative diseases. As a part of the Collaborative Research Center 1310 “Predictability of Evolution” we are involved in a large study of cancer evolution of resistance to chemotherapeutic treatment. In a close collaboration
with the Pathology Institute of the hospital, we will analyze a large set of patient samples in the search of molecular and morphological factors that drive cancer resistance to neoadjuvant therapy. We are looking for a PhD candidate to perform the data analysis on this project.