Application deadline: December 31st, 2008. The Functional Genomics laboratory (http://functionalgenomics.upf.edu) at the Pompeu Fabra University is seeking highly motivated candidates for a PhD position funded by the Research Staff Training (FPI) program of the Spanish Ministry of Science and Innovation through the project "Machine learning of graphical Markov models through qp-graphs: application to molecular regulatory network modeling" (ref. TIN2008-00556/TIN).
This project aims at extending a statistical tool introduced by our group, the qp-graph [1], which we have successfully applied to steady-state microarray data [2], to enable its application to time-course microarray data. We are, therefore, searching candidates graduated in Statistics, Mathematics, Computer Science or Engineering, with a solid background on basic concepts of machine learning, multivariate statistics and graph theory, intellectual curiosity for questions in the field of life sciences, a big appetite for applying computational approaches to solve problems outside their own field and a high degree of motivation for science and research. Eligible candidates should also add up at least 300 ECTS in their graduate and post-graduate academic record by the end of the current academic year. The Functional Genomics Laboratory is part of the Computational Genomics group (http://genomics.upf.edu) within the Biomedical Informatics Research Unit (http://grib.upf.edu) that belongs to the Department of Experimental and Health Sciences (DCEXS) at the Pompeu Fabra University (http://www.upf.edu), and to the Municipal Institute for Medical Research (http://www.imim.es), both located at the Barcelona Biomedical Research Park (http://www.prbb.org) that joins together more than 1000 researchers from different public research institutions in the life sciences and which was recently featured in Nature (vol. 454:248-249, 2008) as one of the thriving science parks that are making Barcelona to surge ahead as a Mediterranean science hub. Please send a complete Curriculum Vitae, including academic record, to [EMAIL PROTECTED] jointly with the email address of at least one person who may be asked for reference on the application, no later than December 31st, 2008. Related publications: 1. Castelo R and Roverato A. A robust procedure for Gaussian graphical model search from microarray data with p larger than n. Journal of Machine Learning Research, 7:2621-2650, 2006. 2. Castelo R and Roverato A. Reverse engineering molecular regulatory networks from microarray data with qp-graphs. Journal of Computational Biology, in press. _______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
