POSTDOCTORAL POSITION IN STATISTICAL LEARNING AND DATA MINING FOR GENE MAPPING
We seek a post-doctoral fellow that will work on a new collaborative UCI/UCLA project on gene mapping, involving the research groups of Professor Padhraic Smyth, Department of Computer Science, University of California, Irvine, and Professors Nelson Freimer and Chiara Sabatti, in the departments of Human Genetics, Psychiatry, and Statistics at UCLA. We have acquired and are in the process of acquiring a series of unprecedented datasets with detailed genotypic and phenotypic information. These datasets come from homogeneous population isolates. Genotyping is being carried out on a genomewide basis with high density SNPs. Phenotypes measured cover virtually every organ system and have been collected on a longitudinal basis (see Freimer and Sabatti, Nature Genetics 34:15-21, 2003). Mining these data sets, we will investigate the definition of endophenotypes, the presence of clusters among phenotypes, and their mapping to locations in the genome. We will test the possibility of carrying our genomewide association mapping for a variety of traits with different characteristics and are interested in developing novel methodology with this goal. Competence in either genetic epidemiology and statistical genetics, or in statistical learning and data mining are desirable strengths in candidate applicants. The expected duration of this position, funded by NIH, is two years. The successful candidate will be expected to spend a considerable portion of their time working at both UCLA and at UC Irvine. Prospective applicants should email a copy of their CV, names and email contact information for at least 3 references, and a link to online publications, to Padhraic Smyth at [EMAIL PROTECTED] Please use "application for NIH postdoc position" in the subject line of your email. The University of California is an Equal Opportunity Employer committed to excellence through diversity. _______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
