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Field
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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
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medicine. Other responsibilities include method development-modification-parallel testing, repair of laboratory instruments, sample processing, reagent preparation, data entry. On a daily basis, incumbents
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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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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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, tail snip genotyping, and necropsy. Key Responsibilities / Duties: Technical and Research Tasks (70%): Perform mammalian cell culture, RNA/DNA isolation, qRT-PCR, protein isolation, immunoprecipitation
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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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. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate
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, designing efficient data processing pipelines. Support the deployment and scaling of AI models for real-world applications. Contribute to open-source AI projects and research publications. Stay up to date
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to begin September 1, 2025. We will consider strong candidates in any research area but will prioritize Distributed and Parallel Computing. A PhD in computer science or a related area is required