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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
to high-impact, translational research infrastructure at the intersection of biomedical informatics, cloud computing, and AI. Minimum Education and Experience Requirements Ph.D. in Bioinformatics
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and ex vivo cellular imaging, bioinformatics, production of genetically engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional
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programs that control stem cell development, and how these processes go awry in cancer progression. Our lab is equipped with cutting-edge metabolomics, genomics, molecular biology, and bioinformatics
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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to manage labor and prevent preterm birth. The lab uses innovative and cutting edge experimentation and relies heavily on bioinformatics and biomechanical systems engineering. Job Description Primary Duties
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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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(or equivalent) certification Hands-on experience in vaccine research Expertise in T-cell immunology or next-generation sequencing Familiarity with RNA virus biology and bioinformatics pipelines Experience in
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. in Bioinformatics, Computational Biology, Data Science, Artificial Intelligence, or a related field. Proven experience in multi-omics data integration, omics data analysis (genomics, transcriptomics
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
present at international conferences. Mentor graduate students and contribute to building capacity in AI and health data science at UM6P. Required Qualifications: Ph.D. in Bioinformatics, Computational
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, including bioinformatics, bacterial community profiling, microbial ecology, metagenomics, and multivariate statistics. They must also have experience working with arboviruses (e.g. viral culture, in vivo