The researchers will develop techniques in the following areas:

• Ontologies and text-mining for gene, disease, drug relationships;
• Algorithms for protein interaction networks and systems biology;
• Modelling of protein complexes and identification of motifs from structure and apply them to
• Identification of Parkinson disease genes;
• Prediction of outcome in cancer;
• Understanding chemoresistance in cancer.

Data to be used will comprise gene expression, RNA interference, protein networks and atomic force microscopy data.

Applicants are required to have a university degree or PhD in Bioinformatics, Computing, Biology, Mathematics, Engineering, Physics, Medicine, or related. Candidates should have a good spoken and written English. PostDoc candidates should have a sound record of peer-reviewed scientific publications. Terms: Salary E 13 TV-L in accordance with the applicant's qualifications and experience. The positions are initially limited to 1 year with possibility to extend up to 3 years. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). Further details can be found on www.biotec.tu-dresden.de/schroeder
TU Dresden is an affirmative action/equal opportunity employer. The University undertakes affirmative action to assure equal employment opportunity for women and persons with disabilities.

Please send a CV, a list of publications, a summary of current/past research (1 - 2 pages), and contact details of two or three references until 29th October 2009 to michael.schroeder@tu-dresden.de

Michael Schroeder, Professor in Bioinformatics

Biotec/Dept. of Computing, TU Dresden
Tatzberg 47-51, 01307 Dresden, Germany

w: www.biotec.tu-dresden.de
t: +49 351 463 400 60
f: +49 351 463 400 61
e: ms@biotec.tu-dresden.de