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· Experience with relational databases and SQL queries. · Must be knowledgeable in at least one scientific computing language such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow) or R
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expected to assist with updating templates and boilerplate language for grant proposals. You will work closely with laboratory and clinical researchers within the Women’s Cancers Program to facilitate
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, such as Python, C++, Java or related languages · Experience building workflows using custom scripts and/or workflow management tools (eg. Nextflow, Snakemake, Common Workflow Language
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