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Research Assistant Professor
Vacancy ID: FAC0003882Position Summary/Description: The individual to fill this position will design and perform the analysis of genomic data to find drivers in the progression breast cancer, and perform functional experiments of targeting these gene drivers in the primary or metastatic lesions. They will be expected to use of mouse models and human breast specimens to discover new spatial and temporal variability of biomarkers, and aberrant immune responses in primary and metastatic tumor microenvironment. For this position the individuals is required to have expertise in in bioinformatic approaches needed to analyze the RNA-seq data as well as single-cell RNA-seq (scRNA-seq), and lab meth


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