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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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will be responsible for spearheading the design and implementation of data analysis through open source or in-house developed pipelines, adapting and troubleshooting analytical methodology, and
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functional assays. A strong background in immunology is highly desirable, particularly in areas such as immune evasion, checkpoint pathways, and T cell biology. Experience with single-cell RNA sequencing data
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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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. Genetic data analysis This is a core job profile description and is not reflective of all duties that may be assigned to a specific position in each individual department. The above statements are intended
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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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Immunohistochemical staining preferred. Experience with sequencing data analysis preferred. Education Requirements (Essential Requirements): PhD required Work Experience Requirements (Essential Requirements): Work
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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
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, who is also skilled in scientific writing, publication management, data visualization, and statistical analysis. The selected candidate will work closely with the Associate Director of Scientific