*** Opportunities in probabilistic modelling: post-doctoral fellowships in
computational biology, Vienna ***


Dear Colleagues,

Please forward our announcement of vacancies to anyone who may be
interested. Thank you!

Best regards,
David Kreil.




-------------------------------------------------------------------------



Boku University Vienna
Department of Biotechnology
WWTF Chair of Bioinformatics


Vacancies for

Post-doctoral research fellows in Computational Biology / Probabilistic
Analysis

Join our fast growing team! We are a young group focussing on the challenge
of extracting structured insight from high-throughput experiments
(microarrays, proteomics, …), taking a quantitative approach in the lab and
applying probabilistic models in analysis. Our biological interests are
varied, and include clinical applications as well as basic research, such as
the investigation of non genetic sources of individuality in fruit-flies.
While travel is not necessary, we have active collaborations with Cambridge,
UK, and the U.S., and encourage exchange with our partners. Vienna is a
thriving international city with a vibrant scientific environment and
outstanding quality of life.

We are looking for skilled and enthusiastic researchers to join our team
contributing to

 - the calibration and deconvolution of complex mixture signals in gene
expression assays

 - the identification of molecular mechanisms of ageing in Drosopihla
melanogaster

Improved methods will be developed for the quantification of gene expression
exploiting thermodynamic sequence properties and probabilistic inference.
The project equally requires an interest in mathematical modelling and the
design and evaluation of appropriate microarray experiments. For this you
need a proven track record of implementing and applying probabilistic models
using Markov Chain Monte Carlo or variational methods. An understanding of
thermodynamics and non-equilibrium effects may also be helpful. Work
involves regular interactions with laboratory scientists and engineers.
Address applications to David Kreil.

Our investigation of molecular determinants of ageing needs a dedicated data
analysis expert. A particular goal is the implementation and application of
probabilistic approaches for an analysis of microarray time-course
experiments to reveal static and temporal patterns that are related to
ageing processes. For this you need a proven track record in probabilistic
machine learning or Bayesian statistics. Work involves regular interaction
with biologists. Apply to Peter Sykacek.

Successful candidates will hold a PhD degree in a technical or scientific
field and show proficiency  using R or MatLab / Octave. Experience with data
analysis in a biomedical or life-science domain is a considerable advantage.
Responsibilities include assisting in the planning of well-designed
experiments and taking personal responsibility for the full subsequent data
analysis process. An interest in collaborating with researchers from other
domains and excellent communication skills are thus essential.

Positions are available immediately with an initial tenure of up to 3 years,
and extensions possible. We look forward to receiving your application
(cover letter, CV, publication list) by 15 Jan. 2008. Please arrange for 3
references to be sent to us directly. Late applications may be considered
until the vacancies have been filled. Please feel free to contact us (
http://bioinf.boku.ac.at ).

Note that we also advertise all our vacancies online, see
http://www.biotec.boku.ac.at/bijobs.html.



---------------------------------------------------------------------------
Dr David Philip Kreil
Chair of Bioinformatics
Boku University Vienna
++43 1 36006 6830, fax 6847
http://bioinf.boku.ac.at/

	[[alternative HTML version deleted]]

