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will develop and benchmark approaches that infer copy-number changes and CIN dynamics directly from single-cell RNA-seq, then connect these CIN signals to (i) the molecular programs that allow tumor
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-cell transcriptomics and modern statistical/AI methodology to address this gap using in-house developed cell atlases. We will develop and benchmark approaches that infer copy-number changes and CIN
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/ To apply, please provide CV Copy of degree certificate Cover letter (a letter motivating the application) Two contacts for recommendation Where to apply Website https://docs.google.com/forms/d/e/1FAIpQLSeSW
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