A PhD position is open for applications in the Department “Theoretical
Bioinformatics” at the German Cancer Research Centre (DKFZ), Heidelberg,
Germany.
The project arises from the challenges of systems biology, which is a
growing area combining biological experimentation with computational
analysis and modelling.
The PhD is concerned with the development of novel methods for inferring
gene regulatory and signalling pathways from the time-course biological
data.
The methodological framework is expected to be probabilistic graphical
modeling, in particular Bayesian modeling. Dynamic Bayesian networks
were already applied hereto, however the main challenges remain to be
addressed: the short time courses, the switching non-stationary
behaviour of the genes/proteins, the sparsity of data.
The PhD will be funded by the Helmholtz Alliance on Systems Biology
within the project “Systems biology of cancer signalling”. This gives
the PhD student a unique opportunity to work in a large
interdisciplinary environment e.g. in collaboration with the systems
biology centre BIOQUANT at the University of Heidelberg and other
research institutions.
The goal is to complete the PhD thesis within 3 years.
We are looking for highly motivated candidates graduated in Statistics,
Mathematics or Computer Science. A background in machine learning,
Bayesian networks and good programming skills will be of advantage.
The starting date is flexible. The applications will be considered until
the position is filled.
Please send your application with the complete Curriculum Vitae, the
academic record (including courses and grades) and contact details of at
least one person who may be asked for reference to: s.bulashev...@dkfz.de.
If you know a suitable candidate please fill free to distribute this e-mail.
Thanks for your attention,
Dr. Svetlana Bulashevska
“Theoretical Bioinformatics”
German Cancer Research Centre (DKFZ)
Heidelberg, Germany
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