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Field
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of biological questions and experimental systems – from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
sequencing, bioinformatics pipelines for viral genome assembly, and high-throughput diagnostic workflows. This project is particularly suited to candidates interested in the intersection of quantitative
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and
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are readily available, including biorepository and clinical biomarkers labs, biostatistics, applied bioinformatics, proteomics and metabolomics and a variety of brain and body imaging resources (MRI, fMRI, DTI
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be highly encouraged and supported. Minimum Education and/or Training: Requires a PhD degree in biomedical research and bioinformatics data analysis training Special Skills, Knowledge, and Abilities
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. The successful candidate will integrate multi-omic and immunological approaches, such as single-cell transcriptomics, proteomics, and tumor microenvironment profiling, and apply bioinformatic tools (e.g., R
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and
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a non-federal source. The position involves applying bioinformatic and statistical tools to existing multidimensional datasets, including metagenomic, transcriptomic, proteomic, and metabolomic
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techniques, mouse models, human specimens, and bioinformatics. We are looking for applicants with wet lab immunology research experience driving the successful completion of projects and authoring peer
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, and gene manipulation is required. Proficiency in genomic and bioinformatics techniques is desirable but optional. • Expertise in Indentation methods, Next-generation sequencing sample preparation