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limited to, integrated cancer risk prediction model, cancer subtype discovery, genomic and epi-genomic data integration, single cell RNA-Seq data analysis, non-coding RNA data analysis, and other datasets
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national scientific conferences. Writes technical publications and reports. Designs and writes programs to perform analysis and produces written reports on results. Collects pilot data to help support new
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immunofluorescence. Familiarity with rodent models of diabetes, data analysis, and interpretation of complex biological datasets is essential. The candidate should demonstrate the ability to work independently
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. Presents research findings at local and national scientific conferences. Writes technical publications and reports. Designs and writes programs to perform analysis and produces written reports on results
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and are pursuing similar mechanisms and developing new treatment modalities based on these discoveries. The position will provide a unique and multidisciplinary exposure to tumor metabolism, molecular
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from viruses to cancer. The lab also has strong interests in developing novel (i.e. new classes of) therapeutic modalities to address the evolution of resistance. The Weinberger lab employs a variety of
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data analysis for omics studies, including genotype data, bulk and single-cell RNA sequencing data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk
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and writes programs to perform analysis and produces written reports on results. 5. Collects pilot data to help support new and competing renewal applications. 6. Supervises undergraduate and graduate
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scientific conferences. 3. Writes technical publications and reports. 4. Designs and writes programs to perform analysis and produces written reports on results. 5. Collects pilot data to help support new and
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genomic changes. In this role, the successful applicant will have the opportunity to participate in the analysis and interpretation of multi-omics datasets including whole genome sequencing, bulk and single