A postdoctoral position has been opened in the team “Statistical Genomics and Computational Physics” for the duration of one year. We are looking for outstanding candidates with a PhD in physics, bioinformatics, statistics or related fields, and some experience in analysis and statistical modeling of large biological datasets. Applications containing a letter of interest and a CV are to be sent before March 13, 2016 to martin.weigt@upmc.fr. A description (fiche de poste) can be downloaded here.

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# Statistical Genomics and Biological Physics

Advances in sequencing and other high-throughput experimental technologies have fueled the genomic revolution over the last 10-15 years, providing an unprecedented amount of large-scale biological data. To extract information from such data, and to reach a deeper understanding of the corresponding biological system, requires the solution of hard inference problems, which are intractable by conventional computational tools.

Our group, newly established in Sept. 2011, draws inspiration from the statistical physics of disordered systems to develop novel algorithmic tools for solving large-scale optimization and inference tasks, to bring such computational methods to the full benefit of biological research.

Specific questions of our interest are:

- Statistical-physics inspired approaches to large-scale network inference

- Protein co-evolution and structural inference of proteins, their complexes, and their interaction specificity

- Inference of signal transduction networks from multiple-drug perturbation experiments

- Robust clustering of noisy data

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