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information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie needs outstanding individuals willing
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evaluations of natural products for drug discovery Microbial genome mining for specialized metabolites discovery from human microbiota Manuscript preparation for scientific publication Generate data and
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or quality of experience. Mission Statement The Life Sciences Institute explores biological processes, structures and functions at the finest scale to create impact on a global scale. For more information on
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and functional (ENCODE, Roadmap Epigenomics, GTEx) data mining. Indianapolis is the capital and most populous city in the State of Indiana. It is growing economically thanks to a strong corporate base
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) Mining & Explosives Engr (3) No Value (3) Nuclear Eng R adiation Science (3) Ortho D entofacial Orthopedics (3) Parking Operations (3) Research Services (3) School of Engineering (3) Social Work (3
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. This knowledge will contribute to the development of more efficient breeding methods, which will be applied to genetic data mining of the USDA National Plant Genetic ornamental germplasm collections and their
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software for data mining. Experiences with analyzing genomic data sets with the related pipelines. Stipend $76,403.00 – $83,795.00 Yearly Point of Contact Janeen Eligibility Requirements Citizenship: U.S
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning; Experience with the analysis
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to, big data mining, protein structure and function prediction, protein-ligand interaction, molecular modeling, molecular toxicology, workflow development, gene knockout design and optimization, and genetic