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Field
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data integration, and computational tools that preserve the spatial provenance of molecular and physiological datasets. The cluster hire described in this announcement extends these strengths toward
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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field. Expertise in analysis of single cell or spatial sequencing data is required. Experience in analysis of bulk RNA and whole exome sequencing data, and genotyping array data is preferred but not
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requirements are Experience in working with large-scale spatial-temporal traffic and/or travel behavior data, e.g., loop detector, floating car data, GPS data, cellphone data. Experience with transport