The Alberta Ingenuity Centre of Machine Learning [AICML], and the PolyomX (cancer genomics) researchers of the Cross Cancer Institute of the Alberta Cancer Board [ACB] are looking to hire a bright responsible Post Doctoral Fellow, to work with us in Edmonton on various bioinformatic projects: to help analyze biological and medical data, from microarrays, single nucleotide polyomorphisms (SNPs), and metabolic profiles, both to produce effective classifiers/regressors and also help identify the relevant biomarkers for further analysis.
The ideal candidate is knowledgable 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 solveimportant 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
to R Greiner: greiner -at- cs -dot- ualberta -dot- ca. For full consideration, we must receive your complete application by 15/January/2009.
(This information appears in http://www.cs.ualberta.ca/~greiner/PDF-AICML-ACB.html.)
The ideal candidate is knowledgable 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 solveimportant 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
- a cover letter, indicating why you qualify;
- your academic transcript;
- your CV, including a description of any previous research or industrial jobs you have held; and
- a list of your references, preferably including their email addresses.
to R Greiner: greiner -at- cs -dot- ualberta -dot- ca. For full consideration, we must receive your complete application by 15/January/2009.
(This information appears in http://www.cs.ualberta.ca/~greiner/PDF-AICML-ACB.html.)
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