Eine zielgenaue Bewerbung für diesen Job — ein maßgeschneiderter Lebenslauf und ein Anschreiben, die genau zur Stellenanzeige passen.
UKM in Münster, Germany, invites applications for a PhD Student (gn*) in Pediatric Brain Tumor Research. The position is fixed-term for 3 years, part-time at 65%, with salary according to TV-L E13.
You will join the Department of Pediatric Hematology and Oncology at University Children’s Hospital Münster and contribute to understanding neuronal signaling in pediatric brain tumors. Responsibilities include organoid-based experiments, single-cell sequencing analyses, data interpretation, and
Start: 01.01.2027 | Fixed-term for 3 years | Part-time with 65% | Salary according to TV-L E13 | Department of Pediatric Hematology and Oncology, University Children’s Hospital Münster
We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility.
To meet our high standards every day, we are looking forward to your scientific expertise in the Department of Pediatric Hematology and Oncology at the University Children’s Hospital Münster. The Riedel group investigates tumor–host organ niche interactions and intercellular communication in pediatric brain tumors. Our research focuses on understanding how the neuronal microenvironment interacts with and supports tumor growth, and how tumor cells actively shape and reprogram their surrounding microenvironment. A particular focus of our work is the emerging field of cancer neuroscience in pediatric brain tumors.
In the project, we aim to identify how pediatric brain tumor cells reprogram their neuronal microenvironment and how these interactions influence tumor behavior. A particular focus will be on neurotransmitter signaling. We will investigate whether this signaling might contribute to tumor-supportive neuronal–tumor interactions and determine whether targeting this signaling pathway may represent a potential therapeutic strategy.
– ideally with you on board!
You will be supported in cell culture, organoid models, and data analysis by established experimental protocols and bioinformatic pipelines available within the department.