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skills and tools to perform job by manipulating physical equipment such as workstations and laptops, PCR, qPCR, plate readers, tissue culture facility, equipment for surgery for small rodents; as
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analysis, expertise in multi-omics data integration, and working experience with computational modeling and machine learning. The ideal candidate will be able to process and analyze high dimensional
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learning and innovation process within and outside IYA curriculum ● Participation in data collection, analysis, and assessment/documentation activities examining the application/adoption of the IYA learning
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from within the mouse cochlea, with the overarching goal of understanding how the cochlear outer hair cells produce mechanical amplification, and how this amplification process leads to emission of sound
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post mortem immunohistochemistry. He is also interested in understanding how various dementia risk factors (e.g. hypertension, physical inactivity, low education, air pollution) affect the brain’s
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modeling and machine learning. The ideal candidate will work independently and will be able to process and analyze high dimensional omics data (genomic, epigenomic, transcriptomic and metabolomic
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skills and tools to perform job by manipulating physical equipment such as workstations and laptops, PCR, qPCR, plate readers, tissue culture facility, equipment for surgery for small rodents; as
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process or requirements should be directed to Dr. Kim Tabari at [email protected] . The University of Southern California is an Equal Opportunity Employer that Values Diversity. Minimum Education: Ph.D
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will be able to process and analyze high dimensional sequencing data of the genome, epigenome, and transcriptome, and perform network-based analysis (e.g. , WGCNA) and functional enrichment analysis
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and employees with disabilities. Applicants with questions about access or requiring reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by