The Project
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The position is part of the BMBF-funded project "Prositu: Modelling and Proteome Signatures of Therapy-relevant Signaling Pathways in Tumors". This collaborative project consists of five research groups from Charite Berlin, MDC Berlin (speaker: Prof. Scheidereit), and Humboldt-Universität Berlin. We will develop novel methods for classifying time-course high-resolution proteomic data in quest for biomarkers.
The Environment
The holder of the position will work together with an interdisciplinary team from computer science, medicine, bioinformatics, and biochemistry currently consisting of 12 researchers plus a number of students. He or she will also profit from a number of other projects in the group related to biomedical data analysis; other research topics at WBI are biomedical databases and query optimization, data integration, text mining, and optimization of scientific workflows. Further information on the group may be found at http://www.informatik.hu-
Requirements
Very good Diploma or Master in Bioinformatics, Computer Science, Biostatistics, or a related subject
Very good knowledge of recent methods in Biotechnology (proteomics, metabolomics, sequencing, ...)
Good knowledge of techniques in Machine Learning
Good knowledge in molecular biology / tumor biology
good knowledge of biomedical databases for high-throughput data
Very good communication skills to work in a highly interdisciplinary team
In case of pre-Phd applicants: interest in pursuing a PhD project
Contact
Please send applications containing the usual documents (certificates, summary of Master or PhD thesis, list of publications, references) by email to Prof. Dr. Ulf Leser. Please also send all questions directly to him.
Humboldt-Universität is an equal-opportunity employer. Applications from disabled persons are, if equally qualified, handled with preference. We strongly encourage applications by females.
Ulf Leser
leser@informatik.hu-berlin.de
Humboldt-Universität zu Berlin
Berlin
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