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Field
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computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage, investigation, and dissemination
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feel, perfecting a unique balance between a close-knit community and driving consistent growth and development. Paralleling the exponential growth of Auburn University, the Auburn/Opelika area boasts
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the management of national and campus-level high-performance computing (HPC) clusters and their associated storage systems, including large parallel file systems, NFS file servers, and underlying storage
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service. Skilled with scripting using shell, Python, or other programming languages. Experience with upgrading, maintaining and troubleshooting computer hardware. Experience with web programming (i.e. HTML
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parallel testing facilities for companion dogs and children, including equipment for eye-tracking, thermal imaging, touch screen studies, behavioral analysis from video. There is also the possibility
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service. Skilled with scripting using shell, Python, or other programming languages. Experience with upgrading, maintaining and troubleshooting computer hardware. Experience with web programming (i.e. HTML
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plans, executes the necessary processes to create the transaction to bill, follows up and collects on past due research receivables, and provides backup support for all billing functions. In addition
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in the clinical histology laboratory setting under minimal supervision. This position requires independent judgment in selection of methodologies utilized in processing specimens and in solving non
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with Python and R programming languages. Experience with functional genomic technologies including massively parallel reporter assays. Biomedical informatics or biomedical research experience. Preferred
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merged with clinical data. The individual in this position will recruit subjects from studies, obtaining informed consent from subjects and clinical samples. This position will collect and/or process these