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results of this study will be compared to NGS analysis of virus detection in a low complexity matrix. Overall, participation in the project will contribute to advancing the use of NGS for viral safety
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and their natural enemies. This research will leverage advanced 'omics' technologies and 'big data' analytics to unravel complex pest-natural enemy interactions, understand host associations, and
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within interdisciplinary teams and engage with researchers, veterinarians, and industry stakeholders to address complex questions in animal disease management. Mentor(s): The mentors for this opportunity
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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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. This research will leverage advanced 'omics' technologies and 'big data' analytics to unravel complex pest-natural enemy interactions, understand host associations, and identify adaptation mechanisms at a
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areas. This fellowship places a strong emphasis on the application of machine learning, artificial intelligence, and bioinformatics to solve complex biological problems. Potential research activities may
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, gaining insight into how diverse fields collaborate to address complex problems. They will also learn how to effectively integrate multiple data sources and apply a range of analytical techniques
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. Research Project: Joining a team of landscape and fire ecologists to learn about and support geospatial analysis of fire mitigation implementation in the highly fire prone lands of Kona and Kohala on Hawaii
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operations professionals, national forest system staff, state foresters in the region, and contractors. The emphasis of the project will be the analysis of past restoration treatments relevant
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of the appointment start date. Preferred Skills: Experience in bioinformatics and computational analysis across prokaryotic and/or eukaryotic systems, with experience addressing complex biological questions related