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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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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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, 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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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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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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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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, 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
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conferences. Candidates should hold a Ph.D. in Physical Oceanography or related discipline, with demonstrated expertise in numerical modeling and data analysis. Strong communication skills and a record of peer
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the dissolution capability of microneedle patches and transdermal drug release by plasma sample analysis focused on animal models. Finally, the research plan will include a component of simulation to describe