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Posting Summary Logo Posting Number RTF00210PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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visualizations that advance research and science communication. Examples of current and past projects can be found at http://infographics.uoregon.edu/. Research positions are funding contingent, part-time, limited
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independent observations and diagnose performance issues. Develop and maintain scientific software for modeling, assimilation, analysis, visualization, and reproducible computational workflows. Collaborate
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and/or case-crossover analyses, and have a promising publication record. Expertise in one or more of the following areas: statistical analysis of large data sets, machine learning, data visualization
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 14 hours ago
to be assembled into rings to form the complete mirror assembly. This modular, hierarchical approach allows construction of large-aperture (>1 m diameter), high-effective-area (>4000 cm²) telescope
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. • Expertise in one or more of the following areas: statistical analysis of large data sets, machine learning, data visualization, and a high level of independence with a publication record to support these
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Posting Summary Logo Posting Number RTF00204PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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appropriate, development of reproducible computational workflows for processing and analyzing large genomic and immunologic datasets, visualization and communication of complex results to both computational and
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first author), with strong ML/AI components include: https://www.biorxiv.org/content/10.64898/2026.03.04.709438v2 https://link.springer.com/article/10.1186/s13059-024-03309-4 https://www.cell.com/cell
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-consequence pathogens of biodefense interests. Learning non-infectious surrogate viral systems, including pseudotyped viruses, minigenome systems, and virus-like particles (VLPs). Learning the operational