Career Openings

 

We are looking for a postdoc and PhD 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 images of kidney structures imaged with super-resolution microscopy in 3D. 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, Freiburg, and Stockholm. We offer work in a stimulating, interdisciplinary environment in the heart of cosmopolitan, historical city.

We invite applicants to join our international and interdisciplinary scientific team in the heart of cosmopolitan, lively, historical city. 

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 is preferred,
  • 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,
  • implementation of computational pipelines including existing machine learning methods,
  • communication with 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,
  • lively, 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 biomedical

Please email your application including CV, cover letter, and contact to 2 references.

 


As a part of the Collaborative Research Center 1310 “Predictability in Evolution” we are looking for a postdoctoral scholar to join our project “Predicting therapy response and relapse of aggressive B cell lymphomas”. It is a collaborative effort between our research group and pathology department of the University Hospital Cologne. The project involves analysis of a rich collection of patient tissue samples in the search for factors predictive of the tumor escape from treatment. The data will include DNA and transcriptome sequencing as well as image data.

Requirements:

  • degree in computer science, physics, bioinformatics, or a related field,
  • good knowledge of programming (python, R),
  • experience with sequence analysis,
  • 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/medicine.

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