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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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, 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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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
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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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parallel storage, backup systems, and robotic tape libraries. Develop reports and customize tools that automate the monitoring process of critical systems and alert team of issues automatically. Evaluate
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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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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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of open firmware. If you have a strong background in FPGA development, system-on-chip architectures, digital signal processing, and an interest in quantum computing research, you have the right skill set to
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located in Norman with a flexible and/or remote option possible for experienced candidates. Job Requirements --- Required Education: Bachelors degree, AND: 36 months of computer programming/analysis