News from the group:
CAMDA'18 Conference
ISMB Track
7-8 July 2018,
Chicago, U.S.A.
(read more)
Outstanding Presentation Prize
for MM Kańduła
at CAMDA'17
Outstanding Presentation Prize
for PP Łabaj
at CAMDA'15 (photo)
OeAW APART fellowship
for PP Łabaj
(photo)

Sequencing Quality Control (SEQC) project,
MAQC Consortium 2011–2014 (read more)
Host–parasite interactions in biocontrol, WWTF grant 2010–2013 (read more)

Power and limitations of RNA-Seq,
FDA SEQC, Nature Biotechnology (read more)
Characterization and improvement of RNA-Seq precision,
Bioinformatics (read more)
Impact of heavy tails in microarray analysis, Bioinformatics (read more)
Novel conserved repeats in sorting signals,
FEBS Journal (read more)
Sound sensation gene,
Nature communications
(read more)
RNA interference in ageing research,
Gerontology (read more)

Post-doctoral research fellow, bioinformatics

We need an enthusiastic scientist to join our team in the development of integrated approaches for the analysis of heterogeneous data. A particular goal is the principled combination of knowledge from sequence analysis, heterogeneous databases, and in-house quantitative experimental results (e. g., metabolite profiles and gene expression data from microarrays or proteomics).

You will hold a PhD degree in a technical or scientific field and have experience in at least one of these three areas:

  • Classical or probabilistic analysis of DNA or protein sequences, such as applied to predictions of cellular function or location, homology detection, determination of domain structure, the identification of atypical sequence regions, promoter prediction, or thermodynamic studies of hybridization. A probabilistic model for data fusion. [Peter Sykacek] An understanding of sequence analysis applications will assist in the interpretation and deep analysis of integrated data sets.
  • Integration of bioinformatics databases and analysis tools. We internally make use of Ensembl and FlyMine and so familiarity with such systems or at least other experience in the combination of data and analysis results from heterogeneous sources is an advantage.
  • Analysis / interpretation of microarray data. We employ modern statistical / probabilistic methods for the analysis of array data. An understanding of issues involved and, in particular, experience in the interpretation of results using bioinformatics resources will be helpful.

You will be responsible for the development of novel integrated approaches in the deep bioinformatics analysis of heterogeneous data sets, applying and adapting existing systems as well as developing novel components as needed. Solid skills and experience in software development under Unix (e. g., Matlab or R, C/C++ or Java, Perl or Python, Bash, …) are therefore required.

Besides collaborating with researchers from other domains in the group, established and novel analysis tools will be applied to Trichoderma atroviride growing along the hyphae of a host fungus. [Photo by Verena Seidl, TU Vienna, and Nick Read, Univ. of Edinburgh] the study of host–parasite interactions (Biogen biocontrol project). An interest in interdisciplinary work and excellent communication skills in English are therefore essential. (Working knowledge of German is a plus).

We offer internationally competitive conditions and benefits. The position is available immediately and has an initial tenure of three years. We look forward to receiving your application. Applications will be considered until the position has been filled and should be addressed to David Kreil. Please include a cover letter, a curriculum vitae, a list of publications, and the names of three referees, who should be asked to send references to us directly. Feel free to please contact us if you have any questions.