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interrogating novel therapies for prostate cancer. These experiments would include molecular engineering/alteration and interrogation of prostate cancer cell line models, RNA-seq/ChIP-seq, etc. Compensation
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. The appointee will primarily conduct research applying advanced machine learning/AI (including techniques like deep learning) to analyze complex biological and clinical data (e.g., single-cell multi-omics
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within our academic community. Compensation (including a generous package of fringe benefits) depends on qualifications. For information on benefits, please consult the University of Chicago Benefits Guide
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feedback to researchers to help optimize and troubleshoot study materials and protocols. Communicates study updates to Mindworks management and research teams, including promptly reaching out about any