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on collaboration across scientific disciplines and geographic locations. In addition, many of these technologies rely on the synthesis, integration, and analysis of large, diverse datasets that benefit from high
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: https://orise.orau.gov/usda-ars/ Research Project: Research will focus on the swine bacterial pathogens Streptococcus suis and Glaesserella parasuis, both of which are major contributors to high-priority
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will develop hands-on experience in plant physiology, nutritional assessment, disease severity evaluation, transcriptomic and metabolomic analysis, and scientific data interpretation. You will also gain
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of enhanced plant materials encompasses field, greenhouse, and laboratory experiments. In addition to participating in the ongoing projects, you will participate in molecular genetics and genomic analysis
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environmental conditions, preparation and processing of biological samples, and analysis of ecological data using statistical and modeling approaches in R. Emphasis will be placed on building your analytical
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research activities such as field-based data collection in diverse environmental conditions, preparation and processing of biological samples, and analysis of ecological data using statistical and modeling
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analysis, and data dissemination. Searching, synthesizing, and interpreting information relevant to public health. Conducting literature reviews to identify evidence-based methodologies for measuring and
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relevant information from medical imagery, video feeds, and operational sensor streams. Building and integrating multi-modal models that fuse vision, text, audio, physiological signals, and structured
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and publishing information from long-term datasets. You will have opportunities to participate in most phases of the research cycle, including field visits, data management and analysis, literature
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texture measurements on vegetable tissue. You will participate in data collection and analysis and collaboratively advance the development of standard operating procedures for advanced microscopy. Learning