Our team is currently working with a number of bright,
resourceful, forward
thinking, medical and biological collaborators, to analyze
(One example study).
The ideal candidate is knowledgeable in both biology (genetics, molecular biology and population genetics) and machine learning, especially graphical models, learning algorithms (Weka), and also tricks for dimensionality reduction -- ie, coping with "large p, small n" problems. Interest and ability in programming (Matlab) is essential.
This PDF will take a lead role in coordinating a team of computing scientists (students and staff of the AICML, as well as several principle investigators) with researchers and clinicians from the ACB, on various projects. This may involve initiating new projects (from designing new experiments and obtaining funding), as well as working on existing projects, to understand a large inventory of already collected data. This is a great chance to both help solve important real-world problems, and also produce high-quality publications, in both artificial intelligence and medical journals.
This position is available immediately, for up to 2 years (possible extension of one more year, for a total of 3 years). The salary is commensurate with experience; we are an equal opportunity employer.
If you are interested, please send your information
Other PDF positions: PDF webpage
This page: http://www.cs.ualberta.ca/~rgreiner/PDF-AICML-ACB.html
March 2012