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(e.g., enhancers, promoters) in cattle. Customize bioinformatics pipelines for automated processing and analysis of short- and long-read sequencing data. Apply computational approaches to detect genetic
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insurance can be obtained through ORISE. Questions: Please visit our Program Website . After reading, if you have additional questions about the application process, please email ORISE.ARS.Northeast@orau.org
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portfolio including plant science, soil health, bioinformatics, protecting agricultural against invasive species, natural resources, remote sensing, advanced manufacturing, and the nexus of agriculture and
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Objectives: Through this fellowship, you will gain valuable hands-on experience and develop expertise in laboratory research and bioinformatics. You will have the opportunity to learn and enhance skills in
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bioinformatics. Participant will collaborate with team members to think up novel approaches to fill such data gaps so as to help resource managers deal with wildlife health issues in a timely and cost-effective
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application process, please email ORISE.ARS.Northeast@orau.org and include the reference code for this opportunity. Qualifications The qualified candidate should be currently pursuing or have received a
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, bioinformatics, protecting agricultural against invasive species, natural resources, remote sensing, advanced manufacturing, and the nexus of agriculture and space. Pursue knowledge in coordinating USDA’s research
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skills in novel bioinformatics-based tools for analyzing and interpreting genomic, metagenomic, and/or gene expression datasets from animals and microbes, particularly in response to emerging Salmonella
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available, including hardware focused on AI approaches which can be utilized by this project, including training and professional development opportunities in bioinformatics and data science and a large
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pathogens, such as those causing wheat blast and soybean red leaf blotch. Acquire skills in collecting, processing, and analyzing whole-genome sequence data. Learn to design, develop, and optimize fungal