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structures, molecular networks, and disease-resistance phenotypes. Artificial intelligence (AI), machine learning, and bioinformatics will connect genotypes with phenotypes and identify maize and fungal genes
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, transgenic/gene-targeted mouse models, and natural hosts (e.g., cattle, deer, and sheep). Note: Research will be carried out in BSL-2+ or BSL-3 laboratories. The fellowship activities involve utilizing
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efficacy in swine and cattle models. Understand how to apply molecular and cellular biology methods including recombinant DNA technology, DNA sequencing, real-time PCR, protein expression, and tissue culture
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your skills in molecular biology, virology, cell culture, vector biology, and animal models, to understand what drives the arbovirus transmission cycle. Additionally, you will be provided opportunities
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join a community of scientists and researchers in an effort to research modeling approaches related to neural stimulation and inhibition by laser exposure. Research will primarily focus on
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with cell culture skills (human or animal models) with an emphasis on organoid and stem cell biology Analytical and molecular techniques (i.e. qPCR, ELISA, multiplex genomic and proteomic assays
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post-harvest management practices, and develop methods to rapidly evaluate grain quality, using a combination of cutting edge tools, such as chemical ecology, molecular biology, and genomics
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interactions from every perspective—molecular, microbe, and natural host. For more information about the Agricultural Research Service (ARS) Research Participation Program, please visit the Program Website
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association studies, and interpret their results in the context of economically important traits. Evaluate and improve genomic prediction models for use in cultivar development programs. Gain experience