Chemoinformatics Position in Munich

Following an award of a national grant "Development of ADME/T methods using Associative Neural Networks (ASNN)" we have a postdoc position to develop new methods for prediction of physico-chemical and ADME/T (Absorption, Distribution, Metabolism, Excretion and Toxicology) properties of small molecules for drug discovery and environmental studies.

Subgoals of the project are: to develop new methods for estimation of confidence of model predictions (e.g., to distinguish reliable vs non-reliable predictions), to improve accuracy of predictions by exploring different representations of molecules (kernel methods vs vector of descriptors), to interpret the calculated results to the end users (chemists/biologists) and/or to make the software/algorithms user friendly and available on the WWW.

We are looking for a postdoc who knows chemistry, likes programming (C++/Java), can and likes to develop/implement (not just use!) new algorithms for cheminformatics (calculation of new descriptors, machine learning, etc.) and/or data visualization in chemistry (e.g., development of Java/Web interfaces, etc.).

The position is available immediately. We are looking forward to your application!

Best regards,
Igor Tetko

 

Dr. Igor V. Tetko
Chemoinformatics, Group Leader
GSF - National Research Centre for Environment and Health
Institute for Bioinformatics
Ingolstaedter Landstrasse 1,
D-85764 Neuherberg, Germany

Telephone: +49-89-3187-3575
Fax: +49-89-3187-3585
http://www.vcclab.org

e-mail: itetko AT vcclab.org