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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
cell biology, immunology, or bioinformatics is preferred. The postdoctoral fellow will study lipid metabolism in murine and patient samples across the tumor microenvironment with the possibility
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sequencing, Hi-C, and other protocols bioinformatic and statistical analysis of complex datasets that include numerous types of data including 16S, metagenomic, metatranscriptomic, and enriched metagenomic
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, Agricultural and Biological Engineering 80% Performing research (protein characterization, bioinformatics) 20% Contributing to reports, manuscripts, project reporting, and grant proposals Additional Information
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, Agricultural and Biological Engineering 80% Performing research (protein characterization, bioinformatics) 20% Contributing to reports, manuscripts, project reporting, and grant proposals Additional Information
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Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field Special Skills, Knowledge, and Abilities: Required: Candidates must hold a doctoral degree (PhD, MD, or equivalent). Applicants
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repertoires of different viral groups groups, and the development of bioinformatic methods for genomic and evolutionary analyses. The research will address critical questions regarding the evolution and
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, demonstrated by a strong publication record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or
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record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or MD/PhD degree, and be self
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the Gokcumen Laboratory (Department of Biological Sciences ), which focuses on evolutionary and bioinformatics approaches, to explore how lipid-related genes and necroptotic pathways have evolved across species
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of the following: primary human melanocyte culture, inflammatory skin disease, single cell bioinformatic analysis, murine models; and a proven ability to work both independently and collaboratively. The Department