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Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD), CDC. You will receive training in advanced molecular methods, next-generation sequencing (NGS), viral
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aerial vehicle (UAV) imagery collection and processing, deep learning methods, and rangeland vegetation communities in Oregon and Idaho as part of an interdisciplinary team including researchers in plant
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will support genome-wide prediction of variant effects across pathogen populations represented in USDA-ARS culture collections. Simultaneously, protein language models and structural methods will
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their research. Additional funds are available for supplies and travel essential for the fellow's research. Research Project: Under the guidance of a mentor, you will apply computational methods for identifying
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methods for evaluating cotton fiber quality and identifying characteristics that promote reliable, predictable dye uptake. Through this experience, you will gain hands-on exposure to analytical
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genetic, genomic, and phenotypic datasets, to support research and crop improvement. Basic and applied research is also conducted within this project. You will use methods in computational biology to
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industrial desert crop to farmers in the south western US as an alternative to high water requiring crops such as as cotton and alfalfa. Current methods will be optimized and new methods may be invented and
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methods to apply to genomic resources, or to develop novel genome annotation methods to apply towards existing genomic resources. Developing and customizing pipelines for automation of data processing
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, plant science, engineering, textile technology, and data science. This team is dedicated to developing and improving methods for assessing cotton fiber quality across production, processing, and end-use
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predictive insights that support improved food and feed safety. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: (a) utilize field and laboratory methods in plant