375 parallel-processing-bioinformatics positions at The University of Arizona in United-States
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to training future scientists and leading global scientific advancements through its dynamic curriculum and diverse research opportunities. The department focuses on imaging, bioinformatics, ‘omics’, stem cells
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/storage nodes to support life sciences research. Install and maintain specialized research software, including bioinformatics tools, often built from source, to support evolving project needs. Develop
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integration of compute/storage nodes to support life sciences research. Install and maintain specialized research software, including bioinformatics tools, often built from source, to support evolving project
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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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laboratories in CIBS. Additional duties as assigned. Knowledge, Skills, and Abilities: Deep understanding of data science, AI/ML, and bioinformatics applications in biomedical research. Experience working with
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with other members and laboratories in CIBS. Knowledge, Skills, and Abilities: Deep understanding of data science, AI/ML, and bioinformatics applications in biomedical research. Experience working with
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, Bioinformatics, Human iPSC, and more). Responsible for compiling and submitting data for special reports including Academic Program Reviews (APR), Continuity of Operations Plan (COOP), Campus Emergency Response
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and contract process with the Department of Defense and other funding agencies. ***This is a sleep deprivation study so overnight and weekend shifts may occasionally be required.*** Outstanding UA
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support grant and contract process with the Department of Defense and other funding agencies. ***This is a sleep deprivation study so overnight and weekend shifts may occasionally be required
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driving process improvements, data-informed decision-making, and effective project delivery. The role is responsible for analyzing complex financial and operational data, developing metrics, mapping and