PhD student and Postdoc in Machine Learning for Bioimage Analysis

Updated: over 2 years ago
Deadline: 2022-02-15T00:00:00Z

We are looking for a PhD and postdoctoral candidates to join our collaborative project on cancer and chronic kidney disease. The tasks will involve devising computational methods for analysis of histopathology images of cancer, kidney structures imaged with super-resolution microscopy in 3D, or automating nephropathology procedures using deep learning. 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. 


Please visit https://www.bozek-lab.cmmc-uni-koeln.de/ to learn more about the group’s interests and ongoing research.


Requirements:

-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.


Responsibilities:

-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.


We offer:

-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.


For further inquiries please visit https://www.bozek-lab.cmmc-uni-koeln.de/ or contact Dr. Katarzyna Bozek [email protected]


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



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