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analysis and documentation. The project may provide exposure to Sanger sequencing, Next Generation Sequencing (NGS), PCR-based platforms such as QIAcuity digital PCR (dPCR) system, and data analysis
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protein expression and purification, biochemical screening assay development, computational structural modeling, cell-based antiviral validation studies, and exposure to preclinical small-animal research
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sequencing (eWGS), PCR-based HPV genotyping platforms such as Novaplex HPV28, and data analysis approaches used to support reliable HPV surveillance and vaccine impact monitoring. This research aligns with
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structural materials that are used in transportation. The candidate should have a background in infrastructure durability analysis, concrete structural properties, and a working knowledge of fiber-reinforced
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project topics of interest – visit: https://orise.orau.gov/eif/default.html Questions? Contact ORISE at [email protected] with the subject line: “EIF Program Question”. Application Deadline 10/2/2026
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USDA-ARS High-Throughput In Vitro Screening of Antimicrobial Compounds Against Phytoplasma in Cherry
PCR, quantitative real-time PCR (qPCR), and reverse transcription qPCR (RT-qPCR) to quantify pathogen dynamics and gene expression. Data Analysis & Synthesis: Learning to process, analyze, and interpret
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MOM6/CICE6 system using JEDI/SOCA. The assimilation results will be used to articulate critical processes missing in the current model configuration. The research will also examine how sea-ice analysis
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Laboratory Sample Analysis at Mars instrument suite. Journal of Geophysical Research: Planets, 127(9), p.e2022JE007179. Hurowitz, J.A., Tice, M.M., Allwood, A.C., Cable, M.L., Hand, K.P., Murphy, A.E., Uckert
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Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible
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science that may inform future national assessments. Learning Objectives: Through this mentored research experience, you will: Gain experience compiling and comparing structured and unstructured datasets