padhraic smyth szvhaicsuciedu postdoctoral position probabilistic learning uc irvine closing date application january 31st 2005 description position fulltime postdoctoral research position padhraic smyths research group university california irvine recently awarded threeyear nsf grant primary goal research develop new probabilistic learning algorithms dynamic temporal processes nonexhaustive list possible topics interest include temporal latenthidden variable models dynamic bayesian networks stochastic grammars hierarchical bayesian learning gaussian processes forth second goal project apply techniques datadriven problems sciences involving temporal data involve direct interaction collaborating scientists uc irvine ucla caltech columbia university one specific problem interest inferring genes behave interact time using microarray data measuring timecourse gene expression uc irvine active group faculty machine learning bioinformatics statistics including max welling pierre baldi eric mjolsness computer science hal stern david van dyk statistics campus located 3 miles pacific ocean sunny southern california halfway los angeles san diego applicants background probabilistic machine learning interest applying learning techniques scientific problems annual salary 41352 51660 depending qualifications appointment initially one year option followon appointment two additional years prospective applicants email copy cv names email contact information least 3 references link online publications padhraic smyth smythicsuciedu please use application nsf postdoc position subject line email detailed information position available online httpwwwdatalabuciedupostdochtml university california irvine equal opportunity employer committed excellence diversity tue 05 aug 2008 182457 0800 uai postdoctoral position uc irvine