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fundamental mechanisms of gene regulation, and transcriptional circuits including gene-regulatory networks, feedback regulation, and regulation of stochastic expression noise in multiple model systems ranging
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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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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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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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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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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
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, adapt and implement new lab procedures. Perform complex and routine molecular biology procedures including flow cytometric analysis, PCR, RT-PCR, Q-PCR, and Western blotting, DNA/RNA extraction
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programs to perform analysis and produces written reports on results. Collects pilot data to help support new and competing renewal applications. Supervises undergraduate and graduate research students and
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analysis, basic scripting in R or Python, and integration of multi-omic datasets is considered an advantage. Candidates should also possess a strong publication record in high-impact journals and a
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, solid phase extraction, etc.). Hands-on experience with different chromatographic separation and mass spectrometry methodologies for analysis of biomarkers, or small molecules. Education: Ph.D. in