recruiting graduate students in algorithmic bioinformatics, to start
in fall 2016.
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 for 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 (canzar@ttic.edu), who can also supply
further information about this position. The Canzar lab moves to LMU
in September, our website is still at TTI Chicago:
http://ttic.uchicago.edu/~canzar/
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