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. The participant may also have the opportunity to be involved with the development of novel algorithms, bioinformatic tools or analytical pipelines that quantify the diversity of RNA viruses that may be deployed in
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bioinformatics. Computational resources are available for large-scale analyses allowing for a unique opportunity for a fellow to obtain unique training and experiences to fit into their professional development
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or be pursuing a doctoral degree in one of the relevant fields (e.g., Plant Genetics, Agronomy, Genomics, Bioinformatics, Biology). Preferred Skills: Experiences and expertise to analyze high through put
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, publication of results, and strategic planning. Learning Objectives: The participant will gain skills in gene characterization, pathogen virulence monitoring, data analysis, statistics, bioinformatics, and
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transcriptomics datasets generated by the host laboratory. To develop insecticidal molecules, the Fellow will utilize AI/machine learning, structural and computational biology, bioinformatics, and genomics tools