Prof. Dr. Lars Kaderali

Open Positions

PhD Students / Postdocs
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Diploma / Master Thesis Projects
We are offering a number of topics for diploma and master theses.

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October 20, 2017:
Kaderali on highly cited researchers list of Laborjournal

December 20, 2017:
We have moved to the C_FunGene building

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Research Focus

We work on the development and application of computational approaches to understand molecular biological systems based on complex biomedical data. We pursue this objective using a combination of direct mathematical modeling, machine learning, and statistical / bioinformatics data analysis methods, in close collaboration with specialized experimental and clinical collaboration partners.

As part of the University Hospital and the Medical Faculty of Greifswald University, we have a strong focus on medical applications.

Biological applications include

Human Immunodeficiency Virus

Research in these biological and medical applications is complemented by the development of novel bioinformatics and biostatistics tools to process complex experimental data. For example, we have developed a pipeline for the automated processing of large-scale, image based RNAi screens, and we currently focus on methods for Multi-OMICs data integration. We develop and employ supervised and unsupervised maching learning tools for Bioinformatics and Systems Biology, which we employ for example to predict survival and treatment response of cancer patients based on molecular data, or to reconstruct genetic regulatory and signal transduction networks from high-throughput experimental data.