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Prof. Dr. Lars Kaderali

Open Positions

Student (SHK/HiWi) Position
We currently have an opening for a student assistant with the possibility to write a diploma/master thesis on machine learning in tumour classification.

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PhD / Postdoc Positions
We currently have no openings, but encourage anyone interested to join our group to contact us about possibilities!

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

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News

August 14, 2013:
Talk at Talk at ISMB 2013

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Research Focus

We work on the development and application of computational approaches to understand molecular biological systems based on complex experimental 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 collaboration partners.

Biological applications include

Human Immunodeficiency Virus

Research in these biological 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. 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.

Our group is located on the medical campus of the University of Technology Dresden, one of Germany's leading research campuses in the life sciences area. The building is located on the Biotechnology Campus, situated in the beautiful valley of the river Elbe, and next to the DFG Research Center and Cluster of Excellence - CRTD, the Max-Planck-Institute for Molecular Cell Biology and Genetics, the TU Dresden Faculty of Medicine Carl Gustav Carus, and the Dresden International Graduate School for Biomedicine and Bioengineering. We are part of a growing community of Computational and Systems Biology research groups in Dresden, see http://www.compbio-dresden.de.