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Details of the postdoctoral positions
Project title
Mechanogenomics of epithelial homeostasis and its role in cancer onset and progression
City
Muenster
Specific field of research
Cell and Developmental Biology, Genetics
Computational Biology, Big Data, Machine Learning / AI
Max Planck Institute
Max Planck Institute for Molecular Biomedicine
Broad field of research
Biology & Medicine Section
Short description of the group/project/topic of research

Our research aims to uncover mechanistic principles of mammalian tissue architecture maintenance and its role in genome integrity and proper cellular function.  We further aim to understand how these mechanisms are perturbed with cancer onset and progression. Discovering these regulatory principles will facilitate the development of regenerative therapies and more effective diagnostics and treatments against cancers. The successful candidate will join a dynamic, international research team that applies a highly interdisciplinary research strategy that builds on stem cell biology, combining scale-bridging tools of bioengineering and biophysics, machine learning-based quantitative imaging, genome-wide analyses, spatial transcriptomics, and computational modeling. 

Additional information

We are looking for a scientist that is interested in implementing existing cutting-edge technologies, and development of new image processing, analysis, and visualization tools and workflows for imaging data, as well as its integration with spatial transcriptomics and mechanical measurements. The projects aim to understand cell state and tissue architectural evolution using human and mouse colorectal cancer as models. The candidate will join a highly multidisciplinary, international, diverse, and dynamic team and work collaboratively to better understand, model, and predict the likely routes of cancer progression/aggression in order to improve therapeutic strategies for patients.

Our Offer

  • Temporary employment of two years with the option of a longer-term cooperation according to the Collective Agreement for the public sector (TVöD)
  • Salary is in accordance with pay group 13 of the TVöD
  • Compatibility of family and career through the possibility to arrange working hours individually and flexibly
  • Childcare facility (U3) at the institute
  • Access to state-of-the-art facilities in genomics, computational biology, proteomics, microscopy, and more.
  • Vibrant, friendly, and collegial working atmosphere
  • Access to world class experts in life sciences, cell biology, engineering, and cancer biology
  • Opportunities to participate in internal and external trainings
  • Attendance in national and international conferences
  • Company health management (BGM)
  • Job ticket

About the Institute 

Max Planck Institute for Molecular Biomedicine is a world-class research institute affiliated with the University of Muenster. The institute consists of >150 scientists from over 30 countries who are supported by 120 support staff. The institute is focused on understanding how tissues are formed, both from a mechanistic, biochemical as well as a biomechanical points of view and equipped with state of the art imaging, sequencing, mouse, electron microscopy, proteomics, and other cores. The institute is located in the dynamic and charming city of Muenster, Germany which is a hub of cell biology and life sciences research in Germany. Learn more about our Max Planck Institute for Molecular Biomedicine or the Max Planck Society at https://www.mpi-muenster.mpg.de/

Link to PI’s webpage
https://www.uni-muenster.de/CiM-IMPRS/research/projects/Miroshnikova.html
Requirements
Requirements

Applicants have to upload their 

  • CV (including a publication list)
  • a summary of previous research
  • and a statement of interest
Additional requirements for the application

Qualifications and expected tasks                                                                                

- PhD in engineering/bioengineering/biophysics/computer science or related field

- Experience with/interest in python programming and image analysis (R, Java or MATLAB is a plus)

- Prior experience with fluorescence confocal imaging, data visualization and microscopy

- Prior experience/interest in learning with genomic analyses/bioinformatics skills 

- Strong communication and organization skills

- Strong code/analyses documentation skills

- Interest in spatial transcriptomics methods

- Ability to work independently to solve technical problems

- Prior experience with mammalian cell culture is a plus 

- Contribute to scientific publications in peer-reviewed journals

 

Contact person
Kate Miroshnikova
kate@mpi-muenster.mpg.de
+4915207635485