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. Description: This research will support advancing our understanding of Venus’ gravity field, lithosphere, interior structure, and geologic evolution through the analysis of existing observations
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. Description: JWST is returning a treasure trove of spectroscopic data, leading a revolution in our understanding of the structure, dynamics, and chemistry of primary planet-forming regions in protoplanetary
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cotton fiber structure affects coloration. You will engage with a multidisciplinary team spanning chemistry, plant science, textile technology, engineering, and data science. This team is dedicated to improving
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, including models customized for fungal genomes. Training will include crop and fungal RNA-seq analysis; integration of multi-omic and phenotypic data; protein-interaction and structure-based analyses; and
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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