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Postdoctoral Researcher Causal Network Inference in Cancer, Knowles & Azizi Labs
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- The Knowles and Azizi labs are seeking a joint postdoctoral research scientist with a background in computational biology, machine learning, and statistics, as well as preferably genomics and cancer biology.
- Thus, a key goal of the CSNCG will be the creation of a common causality discovery platform that brings together engineers, data scientists, mathematicians, technologists, and biological experts to engage in collaborative efforts to develop and scale access to tissue-based measurements and computational tools, which will provide quantification of phenotypes as a function of natural or experimental variation of the dark genome and epigenome.
- The Knowles lab ( develops machine learning methods to understand the role of transcriptomic dysregulation across the spectrum from rare to common genetic disease.
- The lab is located in the Columbia Morningside (main) campus.
- Position Requirements PhD in computer science, statistical genetics, bioinformatics or related quantitative subject.
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