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at the intersection of machine learning, CRISPR screening data analysis, and multi-omics to uncover genetic interactions and synthetic lethalities in cancer. Develop and apply scalable, reproducible computational
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of handling, cleaning and integrating complex genetic and molecular phenotype data into epidemiological datasets (pipelines); Working with epidemiologists and other colleagues in the Centre to help develop and
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for this position. Individual placement within the range is based on the candidate’s current experience, education, skills, and abilities related to the position. Successful candidates typically begin up to mid-point
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