PhD Position in Computational Genomics
The successful applicant will develop and engineer efficient algorithms for analyzing biological high-throughput sequencing data. Supporting the lab's agenda, the successful candidate will employ tools and techniques from combinatorial optimization and machine learning to leverage large numbers of publicly available data sets. Translated into scalable and usable software, they will facilitate the systematic exploration of important biological or biomedical questions, such as the functional impact of alternative splicing.
The Canzar lab is embedded in the stimulating, interdisciplinary environment of the Graduate School of Quantitative Biosciences Munich (QBM), which integrates approaches ranging from bioinformatics and theoretical biophysics to biochemistry, molecular systems biology, and synthetic biology. The lab is housed in the new Research Center for Molecular Biosystems (BioSysM) at the life sciences campus Grosshadern/ Martinsried.
We are seeking motivated candidates with a degree in computer science, (applied) mathematics, or bioinformatics to join our lab.
To apply, send your application materials, including a motivation letter, your CV, and names of two referees in a single pdf file before 31 August 2016 to Stefan Canzar (email@example.com), who can also supply further information about this position. The Canzar lab moves to LMU in September, our website is still at: http://ttic.uchicago.edu/~canzar/
Bitte beziehen Sie sich bei Ihrer Bewerbung auf jobvector
Details der Stellenanzeige
Über LMU München
Our lab studies the regulation of gene expression in Drosophila at a systems level, using a combination of molecular genetic, biochemical and computational approaches. Current research is focused on deciphering the regulatory networks responsible for generating highly defined spatio-temporal patterns of gene expression during development. A second line of investigation in the lab seeks to...Mehr über die LMU München