A motivated PhD student with a keen interest in pediatric oncology, who is familiar with various basic and state-of-the-art molecular biology techniques (including CRISPR-Cas9, cloning, Western Blotting and others) is needed at the University of Augsburg. Knowledge of programing languages such as Python or R is helpful but not mandatory.
The successful applicant will:
- take the lead in implementing a Bavarian-wide liquid biopsy study (funded by the BZKF, Bavarian Center for Cancer Research)
- compare different methods to measure tumor burden in the CSF of brain tumor patients
- characterize the cellular compartment of the CSF by single nucleus transcriptime sequencing
- take part in other projects seeking to unravel the basis of rare pediatric brain tumors (such as e.g. modeling the impact of DICER1 mutations)
Table of Content
Summary
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Benefits
- Joint appointment at the University of Augsburg (Prof. Dr. M. Schlesner, Computational Biology) and the University Hospital (Prof. Dr. P. Johann) and integration into both a clinical / experimental and a computational working group
- The possibility to work on your PhD thesis in a rapidly evolving community
- The opportunity to learn a wide variety of experimental and computational methods
- Support in generating an own, academic profile
- Employee benefits in various companies
- The grouping takes place in TV-L taking into account your qualifications and personal requirements including the social benefits customary in the public service (company pension, annual special payment)
Requirements
- Graduation (Master of Science) in biology, cancer biology, genetics, bioinformatics or a related field (with demonstrated experience in both bioinformatics and experimental work)
- Previous wet lab experience during the Masters thesis is helpful
- Ability to collaborate and communicate within interdisciplinary teams (in German or English)
- Be available to start the PhD thesis as soon as possible (beginning in early 2026)
Application Deadline
November 30, 2025How To Apply
Are you qualified and interested in this opportunity? Kindly go to
University of Augsburg on jobdb.softgarden.de to apply
For further enquiries, please refer to Prof. Dr. Pascal Johann ([email protected]).
For more information, kindly visit University of Augsburg scholarship webpage.
