Two Post-Doctoral positions in Machine Learning and Computational Biology
AVAILABLE AT LRI, CNRS/INRIA-Saclay, University of Paris Sud and IBISC, University of Evry & GENOPOLE, FRANCE
Within the context of a collaboration between the LRI laboratory from University of Paris Sud in the new Saclay campus, the IBISC laboratory from University of Evry (Genopole) and a group of biologists from Paris Descartes University, we seek a postdoctoral candidate in machine learning applied to bioinformatics for one year with a possible extension to two years. He/she will investigate learning methods for inferring the human protein-protein interaction network related to protein CFTR (cystic fibrosis). A sound knowledge in machine learning and a motivation for bioinformatics are required.
Within a collaboration with the French Institute for Radioprotection and Nuclear Safety (IRSN), the IBISC laboratory is seeking postdoctoral candidates for a two-year position with a strong background in statistical learning and systems biology. The successful applicant will participate to the IRSN research project ROSIRIS devoted to the radiotherapy side effects and particularly to the understanding of endothelium dysfunctions in normal tissues following ionizing radiation exposure. He/she will investigate new learning algorithms for dimension reduction and macromolecular network inference from kinetics of primary endothelial cells protein abundances. A sound knowledge in dynamical graphical models and/or kernel approaches will be appreciated.
The successful candidates will have a Ph.D. in Computer Science, Mathematics or Bioinformatics with a strong publication record. Applications for these roles should include a statement of research experience and interests, a CV, two reference letters from appropriate academic sources and the two best publications.
Each position will preferably start before the end of 2012 but the beginning of the postdoc position can be discussed.
Please send your applications in electronic form to :
Prof. Florence d’Alché-Buc: email@example.com, Prof. Christine Froidevaux: christine.froidevaux@lrir,