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collection. The applicant is expected to perform independent data analysis and reporting and documenting data in written and oral formats. Opportunities for intellectual input and contribution to manuscripts
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from mouse and human samples. Experienced with single-cell omics data analysis (e.g. single-cell RNA-seq, Perturb-seq, 10x multiome). Demonstrated proficiency with the Python data analysis ecosystem
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Apply now Job no:520720 Work type:Post Doc (Amherst Only) Location:UMass Amherst Department: Biology Union: Post Doc Categories:Laboratory & Research, Postdoctoral Research Associate, Research