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Field
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, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. * Conducting bioinformatics and statistical analyses of high-throughput omics data
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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. Assists investigators in planning and design of experiment. Provides customized bioinformatics and computational support from the project design to publication phases including consulting on experimental
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
blotting. Preferred Qualifications, Competencies, and Experience A strong background in bioinformatics, particularly experience with Next Generation Sequencing data analysis is preferred. Special Physical
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postdoctoral position in computational biology/bioinformatics • Focus on analyzing multi-omic data from melanoma patients receiving TIL therapies • Co-mentorship by Dr. Allison Betof Warner and Dr. Zinaida Good
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, and take an active role in current and future research. Dr. Issuree's team has expertise in the use of genome, epigenomic and transcriptomic assays and integrated bioinformatic analyses to uncover
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of the following: animal energetics and physiology, tissue level physiology, molecular biology, mitochondrial energetics, metabolomics, transcriptomics, bioinformatics, field research. Excellent project management
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genomic data for reconstructing evolutionary patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics
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project funds are secured and from a non-federal source. The position involves applying bioinformatic and statistical tools to existing multidimensional datasets, including metagenomic, transcriptomic