Postdoc Computer Science - Deep Learning, Kidney Image Data (m/w/d)

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Job description

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 59 clinics and institutes as well as numerous other departments and facilities and more than 10,000 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.

We are looking for the next possible date

Postdoctoral candidate (f/m/x) in deep learning for study of kidney image data
Data science of bioimages lab, Center for Molecular Medicine Cologne

Full-time; limited for 3 years according to WissZeitVG (Third-party funded project)

Our group is working on data-intensive problems in biomedicine by combining machine learning, statistical and other computational methods. Image data and deep learning solutions are a major part of our research. All projects involve collaboration with experimental and medical partners located in Cologne, Charité University Hospital Berlin and abroad.

We are currently looking for one postdoctoral candidate for our collaborative project on chronic kidney disease. The tasks will involve devising computational methods for automating nephropathology procedures using deep learning as well as quantification of information in kidney microscopy images. We are strongly interested in development of self-supervised learning methods for this project. Our collaboration partners include medical as well as microscopy experts located in Cologne and Freiburg. We offer work in a stimulating, interdisciplinary environment in the heart of cosmopolitan, historical city.

Development of computational methods and processing pipelines dedicated to the project
Application of existing and development of new analytical and ML solutions
Data visualization and communication
Work in close collaboration with our medical and experimental collaboration partners

Degree in computer science, physics, bioinformatics, or a related field
Good knowledge of programming (python)
Experience with computation on cluster architectures
Experience with machine learning
Great communication skills, capacity of working in a team and in an interdisciplinary environment

Applications should include CV, cover letter, and contact to 2 references.

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/medicine

Your salary will be based on TV-L