The Computational Life Sciences group develops and applies novel mathematical and computational approaches as well as software tools for data analysis and modeling. The spectrum of applications includes oncology, immunology, and epidemiology. We are intensively collaborating with world-leading experts in the respective fields as well as in mathematics, and we are part of the excellence clusters ImmunoSensation2 and Hausdorff Center for Mathematics at the University of Bonn.

We offer a position as part of a third-party-funded project on the development of models for an organoid-based drug recommendation platform for cancer, in collaboration with experimental partners.

Your tasks:

• Development and application of interpretable large-scale hybrid mechanistic- and machine learning-based mathematical models with a focus on cell- and tissue-level processes,
• Development of methods for these models,
• Data analysis and interpretation,
• Presentation and publication of scientific results at conferences and in journals,
• Collaboration with project partners.

All necessary information can be found here and as PDF.

The Computational Life Sciences group develops and applies novel mathematical and computational approaches as well as software tools for data analysis and modeling. The spectrum of applications includes oncology, immunology, and epidemiology. We are intensively collaborating with world-leading experts in the respective fields as well as in mathematics, and we are part of the excellence clusters ImmunoSensation2 and Hausdorff Center for Mathematics at the University of Bonn.

We have open positions within the DFG-funded Collaborative Research Center 1454 “Metaflammation and Cellular Programming”, which aims at understanding the molecular mechanisms underlying low-grade chronic inflammation playing a significant role in the progression of various diseases, and within the DFG-funded Research Unit 5775 “Macrophage Niche Network Dynamics”, which aims at understanding macrophage functions beyond immunological or inflammatory processes, e.g., during organ development or tissue regeneration.

Your tasks:

• Bioinformatic, statistical, and machine learning-based analysis of experimental, data generated via a broad spectrum of experimental technologies,
• Development of methods, software tools and pipelines for these analyses,
• Publication of scientific results at conferences and in journals,
• Supervision of Bachelor and Master students.

The Computational Life Sciences group develops and applies novel mathematical and computational approaches as well as software tools for data analysis and modeling. The spectrum of applications includes oncology, immunology, and epidemiology. We are intensively collaborating with world-leading experts in the respective fields as well as in mathematics, and we are part of the excellence clusters ImmunoSensation2 and Hausdorff Center for Mathematics at the University of Bonn. 

We offer a position as part of DFG-funded Collaborative Research Center 1454 “Metaflammation and Cellular Programming” (https://www.sfb1454-metaflammation.de/). Metaflammation refers to low-grade chronic in flammation that plays a significant role in the progression of various diseases. Understanding the molecular  mechanisms underlying metaflammation is essential for identifying new therapeutic targets.

Your tasks:

• Bioinformatic, statistical, and machine learning-based analysis of experimental data generated via a broad spectrum of experimental technologies, 
• Development of methods, software tools and pipelines for these analyses, 
• Collaboration with project partners, 
• Data analysis and interpretation, 
• Presentation and publication of scientific results at conferences and in journals