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, transcriptomic, and proteomic datasets using open‑source bioinformatics software. The successful candidate will apply bioinformatics algorithms and statistical methods to interpret, analyze, and visualize large
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-of-the-art and emerging capabilities to demonstrate acceleration of DOE-relevant science. Success in the role will require the ability to utilize AI, HPC, and other algorithmic advances to advance Ames
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field testing and performance analysis Interface with sensors and develop algorithms to process and analyze dynamic data Work directly with industry sponsors to define requirements, scope, and project
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, training models, performance models and algorithms. • Applies engineering and computer science principles to design and develop robotic systems. • Develops and coordinates communications, presentations, etc
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discriminate on the basis of race, color, age, ethnicity, religion, national origin, pregnancy, sexual orientation, genetic information, sex, marital status, disability, or status as a U.S. Veteran. Inquiries
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does not discriminate on the basis of race, color, age, ethnicity, religion, national origin, pregnancy, sexual orientation, genetic information, sex, marital status, disability, or status as a U.S
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, pregnancy, sexual orientation, genetic information, sex, marital status, disability, or status as a U.S. Veteran. Inquiries regarding non-discrimination policies may be directed to Office of Equal Opportunity
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discriminate on the basis of race, color, age, ethnicity, religion, national origin, pregnancy, sexual orientation, genetic information, sex, marital status, disability, or status as a U.S. Veteran. Inquiries
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on the basis of race, color, age, ethnicity, religion, national origin, pregnancy, sexual orientation, genetic information, sex, marital status, disability, or status as a U.S. Veteran. Inquiries regarding non
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Microbiology, Molecular Biology, Genomics, Bioinformatics, or a closely related field. Experience working with pathogenic bacteria, including bacterial culture, genetic manipulation (e.g., gene deletion, cloning